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    "# AI达人创造营：数据获取与处理（以CV任务为主）\n",
    "\n",
    "\n",
    "* **课程目的**\n",
    "\n",
    "1. 数据的获取途径\n",
    "1. 数据处理与标注\n",
    "1. 数据预处理方法\n",
    "1. 模型训练评估"
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    "## 一、数据集的获取\n",
    "\n",
    "\n",
    "&emsp;&emsp;通常，我们的数据来源于各个比赛平台。首先是AIStudio中的数据集，大部分经典数据集例如百度AI Studio ,Kaggle、天池、讯飞等平台（通过关键词搜索获取需要的数据集），或者是Github。还有一些小的平台，需要大家自己去看。通常来说，数据集用于学术目的，有些数据需要申请才能获得链接。\n",
    "### 1.1  Kaggle有趣比较火热的数据集\n",
    "\n",
    "   \n",
    "   [House Prices-Advanced Regression Techniques ](https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data?select=test.csv)   &emsp;&emsp;&emsp;&emsp;      预测销售价格 \n",
    "   \n",
    "   [Cat and Dog](https://www.kaggle.com/tongpython/cat-and-dog)        &emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;   &emsp;&emsp;&emsp;&emsp;   &emsp;&emsp;&emsp;&emsp;  &emsp;&emsp;&emsp;&emsp;    猫狗分类\n",
    "   \n",
    "  [Machine Learning from Disaster](https://www.kaggle.com/shuofxz/titanic-machine-learning-from-disaster)          &emsp;&emsp;&emsp;&emsp;      预测泰坦尼克号的生存情况并熟悉机器学习基础知识 \n",
    "  \n",
    "### 1.2  天池\n",
    "\n",
    "[Barley Remote Sensing Dataset大麦遥感检测数据集](https://tianchi.aliyun.com/dataset/dataDetail?dataId=74952) &emsp;&emsp;&emsp;  遥感影像分割\n",
    "   \n",
    "[耶鲁人脸数据库](https://tianchi.aliyun.com/dataset/dataDetail?dataId=88824)   &emsp;&emsp;&emsp;&emsp;  &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  目标检测任务(人脸检测)\n",
    "\n",
    "### 1.3  DataFountain\n",
    "[花卉分类数据集](https://www.datafountain.cn/datasets/6070) &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; 图像分类\n",
    "\n",
    "### 1.4  其他常用的数据集官网\n",
    "\n",
    "[科大讯飞官网](https://www.xfyun.cn/service/object-recg) \n",
    "\n",
    "[COCO数据集](https://cocodataset.org/#download)\n",
    "\n",
    "\n",
    "### 1.5  完整流程概述\n",
    "\n",
    "#### **1.5.1 图像处理完整流程**\n",
    "\n",
    "* 1. 图片数据获取\n",
    "\n",
    "* 2. 图片数据清洗\n",
    "\n",
    "&emsp;&emsp;----初步了解数据，筛选掉不合适的图片\n",
    "\n",
    "* 3. 图片数据标注\n",
    "\n",
    "* 4. 图片数据预处理data preprocessing。\n",
    "\n",
    "&emsp;&emsp;----标准化 standardlization\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;一 中心化 = 去均值  mean normallization\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;一 将各个维度中心化到0\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;一 目的是加快收敛速度,在某些激活函数上表现更好\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp; 一 归一化 = 除以标准差\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;一 将各个维度的方差标准化处于[-1,1]之间\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;一 目的是提高收敛效率,统一不同输入范围的数据对于模型学习的影响,映射到激活函数有效梯度的值域\n",
    "\n",
    "\n",
    "* 5. 图片数据准备data preparation(训练+测试阶段)\n",
    "\n",
    "&emsp;&emsp;----划分训练集，验证集，以及测试集 \n",
    "\n",
    "* 6. 图片数据增强data augjmentation（训练阶段 ）\n",
    "\n",
    "&emsp;&emsp;----CV常见的数据增强\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 随机旋转\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 随机水平或者重直翻转\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 缩放\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 剪裁\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 平移\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 调整亮度、对比度、饱和度、色差等等\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 注入噪声\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;  **·** 基于生成对抗网络GAN做数搪增强AutoAugment等\n",
    "\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/081ca364d9334840aab1d7bf02e9c27ed03e8460f63842c7bde41dc671e606ff)\n",
    "\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/9df6d44e7c474978b4793d62feb79c399b1871d75c2c480aa1194021b7720030)\n",
    "\n",
    "\n",
    "#### **1.5.2 纯数据处理完整流程**\n",
    "* 数据预处理与特征工程\n",
    "\n",
    "* 1.感知数据\n",
    "\n",
    "&emsp;&emsp;----初步了解数据\n",
    "\n",
    "&emsp;&emsp;----记录和特征的数量特征的名称\n",
    "\n",
    "&emsp;&emsp;----抽样了解记录中的数值特点描述性统计结果\n",
    "\n",
    "&emsp;&emsp;----特征类型\n",
    "\n",
    "&emsp;&emsp;----与相关知识领域数据结合，特征融合\n",
    "\n",
    "* 2.数据清理\n",
    "\n",
    "&emsp;&emsp;----转换数据类型\n",
    "\n",
    "&emsp;&emsp;----处理缺失数据\n",
    "\n",
    "&emsp;&emsp;----处理离群数据\n",
    "\n",
    "* 3.特征变换\n",
    "\n",
    "&emsp;&emsp;----特征数值化\n",
    "\n",
    "&emsp;&emsp;----特征二值化\n",
    "\n",
    "&emsp;&emsp;----OneHot编码\n",
    "\n",
    "&emsp;&emsp;----特征离散化特征\n",
    "\n",
    "&emsp;&emsp;----规范化\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;区间变换\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;标准化\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;归一化\n",
    "\n",
    "\n",
    "* 4.特征选择\n",
    "\n",
    "&emsp;&emsp;----封装器法\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;循序特征选择\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;穷举特征选择\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;递归特征选择\n",
    "\n",
    "&emsp;&emsp;----过滤器法\n",
    "\n",
    "&emsp;&emsp;----嵌入法\n",
    "\n",
    "\n",
    "* 5.特征抽取\n",
    "\n",
    "&emsp;&emsp;----无监督特征抽取\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;主成分分析\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;因子分析\n",
    "\n",
    "&emsp;&emsp;----有监督特征抽取\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "   "
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    "拓展小知识:\n",
    "\n",
    " &emsp;&emsp;&emsp;皮尔森相关系数是用来反应俩变量之间相似程度的统计量，在机器学习中可以用来计算特征与类别间的相似度，即可判断所提取到的特征和类别是正相关、负相关还是没有相关程度。\n",
    "Pearson系数的取值范围为[-1,1]，当值为负时，为负相关，当值为正时，为正相关，绝对值越大，则正/负相关的程度越大。若数据无重复值，且两个变量完全单调相关时，spearman相关系数为+1或-1。当两个变量独立时相关系统为0，但反之不成立。\n",
    "\n",
    "\n",
    "用Corr()函数即可，(保证行相同)。\n",
    "\n",
    "公式如下:\n",
    "\n",
    "$\\rho_{X, Y}=\\frac{\\operatorname{cov}(X, Y)}{\\sigma_{X} \\sigma_{Y}}=\\frac{E\\left(\\left(X-\\mu_{X}\\right)\\left(Y-\\mu_{Y}\\right)\\right)}{\\sigma_{X} \\sigma_{Y}}=\\frac{E(X Y)-E(X) E(Y)}{\\sqrt{E\\left(X^{2}\\right)-E^{2}(X)} \\sqrt{E\\left(Y^{2}\\right)-E^{2}(Y)}}$\n",
    "\n",
    "\n",
    "**当两个变量的标准差都不为零时，相关系数才有定义，Pearson相关系数适用于：**\n",
    "\n",
    " (1)、两个变量之间是线性关系，都是连续数据。\n",
    "\n",
    "(2)、两个变量的总体是正态分布，或接近正态的单峰分布。\n",
    "\n",
    "(3)、两个变量的观测值是成对的，每对观测值之间相互独立。\n"
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    "# 二、数据处理\n",
    "\n",
    "## 2.1 官方数据处理成VOC或者COCO\n",
    "\n",
    "### 2.1.1COCO2017数据集介绍\n",
    " &emsp;&emsp; **COCO数据集是Microsoft制作收集用于Detection + Segmentation + Localization + Captioning的数据集，作者收集了其2017年的版本，一共有25G左右的图片和600M左右的标签文件。\n",
    "COCO数据集共有小类80个，分别为：**\n",
    "\n",
    "\n",
    "    [‘person’, ‘bicycle’, ‘car’, ‘motorcycle’, ‘airplane’, ‘bus’, ‘train’, ‘truck’, ‘boat’, ‘traffic light’, ‘fire hydrant’, ‘stop sign’, ‘parking meter’, ‘bench’, ‘bird’, ‘cat’, ‘dog’, ‘horse’, ‘sheep’, ‘cow’, ‘elephant’, ‘bear’, ‘zebra’, ‘giraffe’, ‘backpack’, ‘umbrella’, ‘handbag’, ‘tie’, ‘suitcase’, ‘frisbee’, ‘skis’, ‘snowboard’, ‘sports ball’, ‘kite’, ‘baseball bat’, ‘baseball glove’, ‘skateboard’, ‘surfboard’, ‘tennis racket’, ‘bottle’, ‘wine glass’, ‘cup’, ‘fork’, ‘knife’, ‘spoon’, ‘bowl’, ‘banana’, ‘apple’, ‘sandwich’, ‘orange’, ‘broccoli’, ‘carrot’, ‘hot dog’, ‘pizza’, ‘donut’, ‘cake’, ‘chair’, ‘couch’, ‘potted plant’, ‘bed’, ‘dining table’, ‘toilet’, ‘tv’, ‘laptop’, ‘mouse’, ‘remote’, ‘keyboard’, ‘cell phone’, ‘microwave’, ‘oven’, ‘toaster’, ‘sink’, ‘refrigerator’, ‘book’, ‘clock’, ‘vase’, ‘scissors’, ‘teddy bear’, ‘hair drier’, ‘toothbrush’]\n",
    "\n",
    "**大类12个，分别为**\n",
    "\n",
    "    [‘appliance’, ‘food’, ‘indoor’, ‘accessory’, ‘electronic’, ‘furniture’, ‘vehicle’, ‘sports’, ‘animal’, ‘kitchen’, ‘person’, ‘outdoor’]\n",
    "    \n",
    "\n",
    "**VOC与COCO简介**\n",
    "\n",
    "&emsp;&emsp;Pascal 的全称是模式分析，静态建模和计算学习(Pattern Analysis, Statical Modeling and Computational Learning)。PASCAL **VOC 挑战赛**是视觉对象的分类识别和检测的一个基准测试，提供了检测算法和学习性能的标准图像注释数据集和标准的评估系统。从2005年至今，该组织每年都会提供一系列类别的、带标签的图片，挑战者通过设计各种精妙的算法，仅根据分析图片内容来将其分类，最终通过准确率、召回率、效率\n",
    "\n",
    "\n",
    " &emsp;&emsp; MS COCO的全称是Microsoft Common Objects in Context，起源于微软于2014年出资标注的Microsoft COCO数据集，与ImageNet竞赛一样，被视为是**计算机视觉领域**最受关注和最权威的比赛之一。 \n",
    "\n",
    "下面为大家演示一下标注的使用。\n",
    "    \n",
    "    \n",
    "COCO格式，文件夹路径样式：\n",
    "\n",
    "     COCO_2017/\n",
    "  \t    ├── val2017     # 总的验证集\n",
    "  \t    ├── train2017    # 总的训练集\n",
    "        ├── annotations    # COCO标注\n",
    "\t\t│   ├── instances_train2017.json     # object instances（目标实例） ---目标实例的训练集标注 \n",
    "\t\t│   ├── instances_val2017.json        # object instances（目标实例） ---目标实例的验证集标注\n",
    "\t\t│   ├── person_keypoints_train2017.json     # object keypoints（目标上的关键点） ---关键点检测的训练集标注\n",
    "\t\t│   ├── person_keypoints_val2017.json       # object keypoints（目标上的关键点） ---关键点检测的验证集标注\n",
    "\t\t│   ├── captions_train2017.json    # image captions（看图说话） ---看图说话的训练集标注\n",
    "\t\t│   ├── captions_val2017.json      # image captions（看图说话） ---看图说话的验证集标注\n",
    "        \n",
    "        \n",
    "VOC格式，文件夹路径样式：  \n",
    "\n",
    "      VOC_2017/\n",
    "      ├── Annotations\t# 每张图片相关的标注信息,xml格式\n",
    "      ├── ImageSets\n",
    "      │   ├── Main\t# 各个类别所在图片的文件名\n",
    "      ├── JPEGImages\t# 包括训练验证测试用到的所有图片  \n",
    "      ├── label_list.txt\t# 标签的类别数\n",
    "      ├── train_val.txt\t#训练集 \n",
    "      ├── val.txt   \t# 验证集\n",
    "      \n",
    "\n",
    "\n",
    "\n",
    "###  2.1.2  Object Keypoint 类型的标注格式\n",
    "\n",
    "\n",
    "\t\n",
    "    {\n",
    "    \"info\": info,\n",
    "    \"licenses\": [license],\n",
    "    \"images\": [image],\n",
    "    \"annotations\": [annotation],\n",
    "    \"categories\": [category]\n",
    "    }\n",
    "\n",
    " &emsp;&emsp;  **其中，info、licenses、images这三个结构体/类型，在不同的JSON文件中这三个类型是一样的，定义是共享的(object instances（目标实例）, object keypoints（目标上的关键点）, image captions（看图说话）)。不共享的是annotation和category这两种结构体，他们在不同类型的JSON文件中是不一样的。 新增的keypoints是一个长度为3 X k的数组，其中k是category中keypoints的总数量。每一个keypoint是一个长度为3的数组，第一和第二个元素分别是x和y坐标值，第三个元素是个标志位v，v为0时表示这个关键点没有标注（这种情况下x=y=v=0），v为1时表示这个关键点标注了但是不可见（被遮挡了），v为2时表示这个关键点标注了同时也可见。\n",
    "um_keypoints表示这个目标上被标注的关键点的数量（v>0），比较小的目标上可能就无法标注关键点。**\n",
    "\n",
    "\tannotation{\n",
    "    \"keypoints\": [x1,y1,v1,...],\n",
    "    \"num_keypoints\": int,\n",
    "    \"id\": int,\n",
    "    \"image_id\": int,\n",
    "    \"category_id\": int,\n",
    "    \"segmentation\": RLE or [polygon],\n",
    "    \"area\": float,\n",
    "    \"bbox\": [x,y,width,height],\n",
    "    \"iscrowd\": 0 or 1,\n",
    "    }\n",
    "    示例：\n",
    "    {\n",
    "\t\"segmentation\": [[125.12,539.69,140.94,522.43,100.67,496.54,84.85,469.21,73.35,450.52,104.99,342.65,168.27,290.88,179.78,288,189.84,286.56,191.28,260.67,202.79,240.54,221.48,237.66,248.81,243.42,257.44,256.36,253.12,262.11,253.12,275.06,299.15,233.35,329.35,207.46,355.24,206.02,363.87,206.02,365.3,210.34,373.93,221.84,363.87,226.16,363.87,237.66,350.92,237.66,332.22,234.79,314.97,249.17,271.82,313.89,253.12,326.83,227.24,352.72,214.29,357.03,212.85,372.85,208.54,395.87,228.67,414.56,245.93,421.75,266.07,424.63,276.13,437.57,266.07,450.52,284.76,464.9,286.2,479.28,291.96,489.35,310.65,512.36,284.76,549.75,244.49,522.43,215.73,546.88,199.91,558.38,204.22,565.57,189.84,568.45,184.09,575.64,172.58,578.52,145.26,567.01,117.93,551.19,133.75,532.49]],\n",
    "\t\"num_keypoints\": 10,\n",
    "\t\"area\": 47803.27955,\n",
    "\t\"iscrowd\": 0,\n",
    "\t\"keypoints\": [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,142,309,1,177,320,2,191,398,2,237,317,2,233,426,2,306,233,2,92,452,2,123,468,2,0,0,0,251,469,2,0,0,0,162,551,2],\n",
    "\t\"image_id\": 425226,\"bbox\": [73.35,206.02,300.58,372.5],\"category_id\": 1,\n",
    "\t\"id\": 183126},\n",
    "\n",
    "###  2.1.3 categories字段\n",
    "\n",
    " &emsp;&emsp; **最后，对于每一个category结构体，相比Object Instance中的category新增了2个额外的字段，keypoints是一个长度为k的数组，包含了每个关键点的名字；skeleton定义了各个关键点之间的连接性（比如人的左手腕和左肘就是连接的，但是左手腕和右手腕就不是）。\n",
    "目前，COCO的keypoints只标注了person category （分类为人）。**\n",
    "\n",
    "\t{\n",
    "    \"id\": int,\n",
    "    \"name\": str,\n",
    "    \"supercategory\": str,\n",
    "    \"keypoints\": [str],\n",
    "    \"skeleton\": [edge]\n",
    "    }\n",
    "    示例：\n",
    "    {\n",
    "\t\"supercategory\": \"person\",\n",
    "\t\"id\": 1,\n",
    "\t\"name\": \"person\",\n",
    "\t\"keypoints\": [\"nose\",\"left_eye\",\"right_eye\",\"left_ear\",\"right_ear\",\"left_shoulder\",\"right_shoulder\",\"left_elbow\",\"right_elbow\",\"left_wrist\",\"right_wrist\",\"left_hip\",\"right_hip\",\"left_knee\",\"right_knee\",\"left_ankle\",\"right_ankle\"],\n",
    "\t\"skeleton\": [[16,14],[14,12],[17,15],[15,13],[12,13],[6,12],[7,13],[6,7],[6,8],[7,9],[8,10],[9,11],[2,3],[1,2],[1,3],[2,4],[3,5],[4,6],[5,7]]\n",
    "    }\n",
    "\n",
    "\n",
    "### 2.1.4  数据集统计信息\n",
    "\n",
    " &emsp;&emsp; **人体关键点标注，每个人体关键点个数的分布情况，其中11-15这个范围的人体是最多的，有接近70000人，6-10其次，超过40000人，后面依次为16-17,2-5,...**\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/957d7ab342df412dbf5f78a71f4bd174db2263623eed4e2181a617b58e69b353)\n",
    "\n"
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     "output_type": "stream",
     "text": [
      "Cloning into 'PaddleDetection'...\n",
      "remote: Enumerating objects: 15496, done.\u001b[K\n",
      "remote: Counting objects: 100% (723/723), done.\u001b[K\n",
      "remote: Compressing objects: 100% (422/422), done.\u001b[K\n",
      "remote: Total 15496 (delta 379), reused 537 (delta 298), pack-reused 14773\u001b[K\n",
      "Receiving objects: 100% (15496/15496), 141.15 MiB | 12.17 MiB/s, done.\n",
      "Resolving deltas: 100% (11042/11042), done.\n",
      "Checking connectivity... done.\n"
     ]
    }
   ],
   "source": [
    "#拉取PaddleDetection\r\n",
    "!git clone https://github.com.cnpmjs.org/PaddlePaddle/PaddleDetection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#存入持久层中\r\n",
    "!mv PaddleDetection/ work/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://mirror.baidu.com/pypi/simple/\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 1)) (4.36.1)\n",
      "Requirement already satisfied: typeguard in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 2)) (2.12.1)\n",
      "Requirement already satisfied: visualdl>=2.1.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 3)) (2.2.0)\n",
      "Requirement already satisfied: opencv-python in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 4)) (4.1.1.26)\n",
      "Requirement already satisfied: PyYAML in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 5)) (5.1.2)\n",
      "Requirement already satisfied: shapely in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 6)) (1.7.1)\n",
      "Requirement already satisfied: scipy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 7)) (1.6.3)\n",
      "Requirement already satisfied: terminaltables in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 8)) (3.1.0)\n",
      "Requirement already satisfied: Cython in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 9)) (0.29)\n",
      "Requirement already satisfied: pycocotools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 10)) (2.0.2)\n",
      "Requirement already satisfied: setuptools>=42.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 12)) (56.2.0)\n",
      "Requirement already satisfied: lap in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 13)) (0.4.0)\n",
      "Requirement already satisfied: sklearn in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 14)) (0.0)\n",
      "Requirement already satisfied: motmetrics in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 15)) (1.2.0)\n",
      "Requirement already satisfied: openpyxl in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from -r work/PaddleDetection/requirements.txt (line 16)) (3.0.5)\n",
      "Requirement already satisfied: Pillow>=7.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (7.1.2)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.20.3)\n",
      "Requirement already satisfied: shellcheck-py in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.7.1.1)\n",
      "Requirement already satisfied: Flask-Babel>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.0.0)\n",
      "Requirement already satisfied: flake8>=3.7.9 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (3.8.2)\n",
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      "Requirement already satisfied: six>=1.14.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.15.0)\n",
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      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.1.5)\n",
      "Requirement already satisfied: flask>=1.1.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.1.1)\n",
      "Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.21.0)\n",
      "Requirement already satisfied: bce-python-sdk in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.8.53)\n",
      "Requirement already satisfied: scikit-learn in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from sklearn->-r work/PaddleDetection/requirements.txt (line 14)) (0.24.2)\n",
      "Requirement already satisfied: pytest-benchmark in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (3.4.1)\n",
      "Requirement already satisfied: flake8-import-order in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (0.18.1)\n",
      "Requirement already satisfied: xmltodict>=0.12.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (0.12.0)\n",
      "Requirement already satisfied: pytest in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (6.2.4)\n",
      "Requirement already satisfied: jdcal in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->-r work/PaddleDetection/requirements.txt (line 16)) (1.4.1)\n",
      "Requirement already satisfied: et-xmlfile in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from openpyxl->-r work/PaddleDetection/requirements.txt (line 16)) (1.0.1)\n",
      "Requirement already satisfied: Babel>=2.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.8.0)\n",
      "Requirement already satisfied: Jinja2>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.10.1)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2019.3)\n",
      "Requirement already satisfied: pyflakes<2.3.0,>=2.2.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.2.0)\n",
      "Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.23)\n",
      "Requirement already satisfied: pycodestyle<2.7.0,>=2.6.0a1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.6.0)\n",
      "Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.6.1)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.8)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (3.0.4)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.25.6)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2019.9.11)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.8.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.4.2)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.1.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.10.0)\n",
      "Requirement already satisfied: Werkzeug>=0.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.16.0)\n",
      "Requirement already satisfied: itsdangerous>=0.24 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.1.0)\n",
      "Requirement already satisfied: click>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.1->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (7.0)\n",
      "Requirement already satisfied: virtualenv>=15.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (16.7.9)\n",
      "Requirement already satisfied: aspy.yaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.3.0)\n",
      "Requirement already satisfied: cfgv>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (2.0.1)\n",
      "Requirement already satisfied: identify>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.4.10)\n",
      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.3.4)\n",
      "Requirement already satisfied: toml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.10.0)\n",
      "Requirement already satisfied: pycryptodome>=3.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (3.9.9)\n",
      "Requirement already satisfied: future>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.18.0)\n",
      "Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn->sklearn->-r work/PaddleDetection/requirements.txt (line 14)) (0.14.1)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn->sklearn->-r work/PaddleDetection/requirements.txt (line 14)) (2.1.0)\n",
      "Requirement already satisfied: py-cpuinfo in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pytest-benchmark->motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (8.0.0)\n",
      "Requirement already satisfied: iniconfig in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pytest->motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (1.1.1)\n",
      "Requirement already satisfied: packaging in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pytest->motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (20.9)\n",
      "Requirement already satisfied: pluggy<1.0.0a1,>=0.12 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pytest->motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (0.13.1)\n",
      "Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pytest->motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (19.2.0)\n",
      "Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pytest->motmetrics->-r work/PaddleDetection/requirements.txt (line 15)) (1.10.0)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.5->Flask-Babel>=1.0.0->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (1.1.1)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata; python_version < \"3.8\"->flake8>=3.7.9->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (0.6.0)\n",
      "Requirement already satisfied: more-itertools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from zipp>=0.5->importlib-metadata; python_version < \"3.8\"->flake8>=3.7.9->visualdl>=2.1.0->-r work/PaddleDetection/requirements.txt (line 3)) (7.2.0)\n",
      "Looking in indexes: https://mirror.baidu.com/pypi/simple/\n",
      "Requirement already satisfied: pycocotools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (2.0.2)\n",
      "Requirement already satisfied: matplotlib>=2.1.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools) (2.2.3)\n",
      "Requirement already satisfied: cython>=0.27.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools) (0.29)\n",
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      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (2.4.2)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (2.8.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (0.10.0)\n",
      "Requirement already satisfied: numpy>=1.7.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (1.20.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (1.1.0)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib>=2.1.0->pycocotools) (1.15.0)\n",
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      "Looking in indexes: https://mirror.baidu.com/pypi/simple/\n",
      "Requirement already satisfied: scikit-image in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (0.18.2)\n",
      "Requirement already satisfied: tifffile>=2019.7.26 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-image) (2021.7.2)\n",
      "Requirement already satisfied: pillow!=7.1.0,!=7.1.1,>=4.3.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-image) (7.1.2)\n",
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      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (2019.3)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (2.8.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (0.10.0)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image) (1.15.0)\n",
      "Requirement already satisfied: decorator>=4.3.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from networkx>=2.0->scikit-image) (4.4.2)\n",
      "Requirement already satisfied: setuptools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib!=3.0.0,>=2.0.0->scikit-image) (56.2.0)\n"
     ]
    }
   ],
   "source": [
    "#导入所需要的依赖\r\n",
    "!pip install -r work/PaddleDetection/requirements.txt\r\n",
    "\r\n",
    "#导入转格式所需要的包\r\n",
    "!pip install pycocotools\r\n",
    "!pip install scikit-image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# COCO标注\r\n",
    "!unzip -oq /home/aistudio/data/data97273/annotations_trainval2017.zip -d ./\r\n",
    "# 总的验证集\r\n",
    "!unzip -oq /home/aistudio/data/data97273/val2017.zip -d ./  \r\n",
    "# 总的训练集         \r\n",
    "!unzip -oq /home/aistudio/data/data97273/train2017.zip -d ./      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#创建解析好的图片与xml文件的目录\r\n",
    "!mkdir -p VOCData/images/\r\n",
    "!mkdir -p VOCData/Annotations/\r\n",
    "\r\n",
    "!mkdir COCOData/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading annotations into memory...\n",
      "Done (t=21.68s)\n",
      "creating index...\n",
      "index created!\n",
      "{1: 'person', 2: 'bicycle', 3: 'car', 4: 'motorcycle', 5: 'airplane', 6: 'bus', 7: 'train', 8: 'truck', 9: 'boat', 10: 'traffic light', 11: 'fire hydrant', 13: 'stop sign', 14: 'parking meter', 15: 'bench', 16: 'bird', 17: 'cat', 18: 'dog', 19: 'horse', 20: 'sheep', 21: 'cow', 22: 'elephant', 23: 'bear', 24: 'zebra', 25: 'giraffe', 27: 'backpack', 28: 'umbrella', 31: 'handbag', 32: 'tie', 33: 'suitcase', 34: 'frisbee', 35: 'skis', 36: 'snowboard', 37: 'sports ball', 38: 'kite', 39: 'baseball bat', 40: 'baseball glove', 41: 'skateboard', 42: 'surfboard', 43: 'tennis racket', 44: 'bottle', 46: 'wine glass', 47: 'cup', 48: 'fork', 49: 'knife', 50: 'spoon', 51: 'bowl', 52: 'banana', 53: 'apple', 54: 'sandwich', 55: 'orange', 56: 'broccoli', 57: 'carrot', 58: 'hot dog', 59: 'pizza', 60: 'donut', 61: 'cake', 62: 'chair', 63: 'couch', 64: 'potted plant', 65: 'bed', 67: 'dining table', 70: 'toilet', 72: 'tv', 73: 'laptop', 74: 'mouse', 75: 'remote', 76: 'keyboard', 77: 'cell phone', 78: 'microwave', 79: 'oven', 80: 'toaster', 81: 'sink', 82: 'refrigerator', 84: 'book', 85: 'clock', 86: 'vase', 87: 'scissors', 88: 'teddy bear', 89: 'hair drier', 90: 'toothbrush'}\n",
      "[1]\n",
      "100%|████████████████████████████████████| 64115/64115 [06:28<00:00, 165.18it/s]\n",
      "loading annotations into memory...\n",
      "Done (t=0.63s)\n",
      "creating index...\n",
      "index created!\n",
      "{1: 'person', 2: 'bicycle', 3: 'car', 4: 'motorcycle', 5: 'airplane', 6: 'bus', 7: 'train', 8: 'truck', 9: 'boat', 10: 'traffic light', 11: 'fire hydrant', 13: 'stop sign', 14: 'parking meter', 15: 'bench', 16: 'bird', 17: 'cat', 18: 'dog', 19: 'horse', 20: 'sheep', 21: 'cow', 22: 'elephant', 23: 'bear', 24: 'zebra', 25: 'giraffe', 27: 'backpack', 28: 'umbrella', 31: 'handbag', 32: 'tie', 33: 'suitcase', 34: 'frisbee', 35: 'skis', 36: 'snowboard', 37: 'sports ball', 38: 'kite', 39: 'baseball bat', 40: 'baseball glove', 41: 'skateboard', 42: 'surfboard', 43: 'tennis racket', 44: 'bottle', 46: 'wine glass', 47: 'cup', 48: 'fork', 49: 'knife', 50: 'spoon', 51: 'bowl', 52: 'banana', 53: 'apple', 54: 'sandwich', 55: 'orange', 56: 'broccoli', 57: 'carrot', 58: 'hot dog', 59: 'pizza', 60: 'donut', 61: 'cake', 62: 'chair', 63: 'couch', 64: 'potted plant', 65: 'bed', 67: 'dining table', 70: 'toilet', 72: 'tv', 73: 'laptop', 74: 'mouse', 75: 'remote', 76: 'keyboard', 77: 'cell phone', 78: 'microwave', 79: 'oven', 80: 'toaster', 81: 'sink', 82: 'refrigerator', 84: 'book', 85: 'clock', 86: 'vase', 87: 'scissors', 88: 'teddy bear', 89: 'hair drier', 90: 'toothbrush'}\n",
      "[1]\n",
      "100%|██████████████████████████████████████| 2693/2693 [00:16<00:00, 164.84it/s]\n",
      "100%|██████████████████████████████████| 66808/66808 [00:01<00:00, 51916.82it/s]\n",
      "-[INFO] total: 66808\n",
      "-[Count] person total:273469 per:4.093357082984074\n"
     ]
    }
   ],
   "source": [
    "#处理目标检测的数据集\r\n",
    "!python ProcessData.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#没有这个文件时创建一个空的label的txt文件\r\n",
    "!touch VOCData/label_list.txt   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#移动到dataset文件夹\r\n",
    "!mv VOCData work/PaddleDetection/dataset/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio/work/PaddleDetection\n"
     ]
    }
   ],
   "source": [
    "%cd work/PaddleDetection/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 56786/56786 [00:00<00:00, 271610.25it/s]\n",
      "100%|██████████| 10022/10022 [00:00<00:00, 270602.00it/s]\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\r\n",
    "按VOC格式划分数据集，train : val = 0.85 : 0.15\r\n",
    "生成标签label_list.txt\r\n",
    "\"\"\"\r\n",
    "import os\r\n",
    "import shutil\r\n",
    "import skimage.io as io\r\n",
    "\r\n",
    "from tqdm import tqdm\r\n",
    "from random import shuffle\r\n",
    "\r\n",
    "dataset = 'dataset/VOCData/'\r\n",
    "train_txt = os.path.join(dataset, 'train_val.txt')\r\n",
    "val_txt = os.path.join(dataset, 'val.txt')\r\n",
    "lbl_txt = os.path.join(dataset, 'label_list.txt')\r\n",
    "\r\n",
    "classes = [\r\n",
    "        \"person\"\r\n",
    "    ]\r\n",
    "\r\n",
    "with open(lbl_txt, 'w') as f:\r\n",
    "    for l in classes:\r\n",
    "        f.write(l+'\\n')\r\n",
    "\r\n",
    "xml_base = 'Annotations'\r\n",
    "img_base = 'images'\r\n",
    "\r\n",
    "xmls = [v for v in os.listdir(os.path.join(dataset, xml_base)) if v.endswith('.xml')]\r\n",
    "shuffle(xmls)\r\n",
    "\r\n",
    "split = int(0.85 * len(xmls)) #划分训练集与验证集\r\n",
    "\r\n",
    "with open(train_txt, 'w') as f:\r\n",
    "    for x in tqdm(xmls[:split]):\r\n",
    "        m = x[:-4]+'.jpg'\r\n",
    "        xml_path = os.path.join(xml_base, x)\r\n",
    "        img_path = os.path.join(img_base, m)\r\n",
    "        f.write('{} {}\\n'.format(img_path, xml_path))\r\n",
    "    \r\n",
    "with open(val_txt, 'w') as f:\r\n",
    "    for x in tqdm(xmls[split:]):\r\n",
    "        m = x[:-4]+'.jpg'\r\n",
    "        xml_path = os.path.join(xml_base, x)\r\n",
    "        img_path = os.path.join(img_base, m)\r\n",
    "        f.write('{} {}\\n'.format(img_path, xml_path))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio\n"
     ]
    }
   ],
   "source": [
    "%cd /home/aistudio/\r\n",
    "\r\n",
    "!mv val2017/ COCOData/\r\n",
    "!mv train2017/ COCOData/\r\n",
    "!mv annotations/ COCOData/\r\n",
    "\r\n",
    "!mv -f COCOData/ data/\r\n",
    "!mv -f work/PaddleDetection/dataset/VOCData data/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 2.2 自定义数据集进行训练\n",
    "\n",
    "### 2.2.1 常见标注工具\n",
    "&emsp;&emsp;对于图像分类任务，我们只要将对应的图片是哪个类别划分好即可。对于检测任务和分割任务，目前比较流行的数据标注工具是labelimg、labelme，分别用于检测任务与分割任务的标注。\n",
    "\n",
    "标注工具Github地址：\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;[labelimg](https://github.com/tzutalin/labelImg)\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; [labelme](https://github.com/wkentaro/labelme)\n",
    "\n",
    "&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp; &emsp;&emsp;&emsp;&emsp;&emsp;&emsp;&emsp;[PPOCRLabel](https://github.com/PaddlePaddle/PaddleOCR)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!mkdir work/PaddleDetection/dataset/MaskVOCData"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 2.2.2 制作VOC格式与COCO格式数据集并划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#解压自制数据集\r\n",
    "!unzip -oq /home/aistudio/data/data101583/facemask.zip -d work/PaddleDetection/dataset/MaskVOCData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://mirror.baidu.com/pypi/simple/\n",
      "Requirement already satisfied: paddlex in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (1.3.11)\n",
      "Requirement already satisfied: xlwt in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.3.0)\n",
      "Requirement already satisfied: paddlehub==2.1.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.1.0)\n",
      "Requirement already satisfied: colorama in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (0.4.4)\n",
      "Requirement already satisfied: pycocotools; platform_system != \"Windows\" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.0.2)\n",
      "Requirement already satisfied: pyyaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (5.1.2)\n",
      "Requirement already satisfied: tqdm in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (4.36.1)\n",
      "Requirement already satisfied: sklearn in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (0.0)\n",
      "Requirement already satisfied: shapely>=1.7.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.7.1)\n",
      "Requirement already satisfied: visualdl>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (2.2.0)\n",
      "Requirement already satisfied: flask-cors in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (3.0.8)\n",
      "Requirement already satisfied: paddleslim==1.1.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (1.1.1)\n",
      "Requirement already satisfied: psutil in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (5.7.2)\n",
      "Requirement already satisfied: opencv-python in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlex) (4.1.1.26)\n",
      "Requirement already satisfied: flask>=1.1.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (1.1.1)\n",
      "Requirement already satisfied: Pillow in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (7.1.2)\n",
      "Requirement already satisfied: rarfile in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (3.1)\n",
      "Requirement already satisfied: paddle2onnx>=0.5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (0.7)\n",
      "Requirement already satisfied: gitpython in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (3.1.14)\n",
      "Requirement already satisfied: gunicorn>=19.10.0; sys_platform != \"win32\" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (20.0.4)\n",
      "Requirement already satisfied: colorlog in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (4.1.0)\n",
      "Requirement already satisfied: filelock in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (3.0.12)\n",
      "Requirement already satisfied: paddlenlp>=2.0.0rc5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (2.0.1)\n",
      "Requirement already satisfied: easydict in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (1.9)\n",
      "Requirement already satisfied: pyzmq in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (18.1.1)\n",
      "Requirement already satisfied: numpy in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (1.20.3)\n",
      "Requirement already satisfied: packaging in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (20.9)\n",
      "Requirement already satisfied: matplotlib in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlehub==2.1.0->paddlex) (2.2.3)\n",
      "Requirement already satisfied: setuptools>=18.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools; platform_system != \"Windows\"->paddlex) (56.2.0)\n",
      "Requirement already satisfied: cython>=0.27.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pycocotools; platform_system != \"Windows\"->paddlex) (0.29)\n",
      "Requirement already satisfied: scikit-learn in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from sklearn->paddlex) (0.24.2)\n",
      "Requirement already satisfied: requests in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (2.22.0)\n",
      "Requirement already satisfied: flake8>=3.7.9 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (3.8.2)\n",
      "Requirement already satisfied: six>=1.14.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (1.15.0)\n",
      "Requirement already satisfied: protobuf>=3.11.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (3.14.0)\n",
      "Requirement already satisfied: pre-commit in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (1.21.0)\n",
      "Requirement already satisfied: Flask-Babel>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (1.0.0)\n",
      "Requirement already satisfied: shellcheck-py in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (0.7.1.1)\n",
      "Requirement already satisfied: bce-python-sdk in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (0.8.53)\n",
      "Requirement already satisfied: pandas in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from visualdl>=2.0.0->paddlex) (1.1.5)\n",
      "Requirement already satisfied: itsdangerous>=0.24 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.0->paddlehub==2.1.0->paddlex) (1.1.0)\n",
      "Requirement already satisfied: Jinja2>=2.10.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.0->paddlehub==2.1.0->paddlex) (2.10.1)\n",
      "Requirement already satisfied: Werkzeug>=0.15 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.0->paddlehub==2.1.0->paddlex) (0.16.0)\n",
      "Requirement already satisfied: click>=5.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flask>=1.1.0->paddlehub==2.1.0->paddlex) (7.0)\n",
      "Requirement already satisfied: gitdb<5,>=4.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from gitpython->paddlehub==2.1.0->paddlex) (4.0.5)\n",
      "Requirement already satisfied: seqeval in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlenlp>=2.0.0rc5->paddlehub==2.1.0->paddlex) (1.2.2)\n",
      "Requirement already satisfied: jieba in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlenlp>=2.0.0rc5->paddlehub==2.1.0->paddlex) (0.42.1)\n",
      "Requirement already satisfied: multiprocess in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlenlp>=2.0.0rc5->paddlehub==2.1.0->paddlex) (0.70.11.1)\n",
      "Requirement already satisfied: h5py in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from paddlenlp>=2.0.0rc5->paddlehub==2.1.0->paddlex) (2.9.0)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from packaging->paddlehub==2.1.0->paddlex) (2.4.2)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddlehub==2.1.0->paddlex) (2.8.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddlehub==2.1.0->paddlex) (1.1.0)\n",
      "Requirement already satisfied: pytz in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddlehub==2.1.0->paddlex) (2019.3)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from matplotlib->paddlehub==2.1.0->paddlex) (0.10.0)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn->sklearn->paddlex) (2.1.0)\n",
      "Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn->sklearn->paddlex) (1.6.3)\n",
      "Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from scikit-learn->sklearn->paddlex) (0.14.1)\n",
      "Requirement already satisfied: idna<2.9,>=2.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.0.0->paddlex) (2.8)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.0.0->paddlex) (2019.9.11)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.0.0->paddlex) (1.25.6)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from requests->visualdl>=2.0.0->paddlex) (3.0.4)\n",
      "Requirement already satisfied: mccabe<0.7.0,>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.0.0->paddlex) (0.6.1)\n",
      "Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.0.0->paddlex) (0.23)\n",
      "Requirement already satisfied: pycodestyle<2.7.0,>=2.6.0a1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.0.0->paddlex) (2.6.0)\n",
      "Requirement already satisfied: pyflakes<2.3.0,>=2.2.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from flake8>=3.7.9->visualdl>=2.0.0->paddlex) (2.2.0)\n",
      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.0.0->paddlex) (1.3.4)\n",
      "Requirement already satisfied: toml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.0.0->paddlex) (0.10.0)\n",
      "Requirement already satisfied: cfgv>=2.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.0.0->paddlex) (2.0.1)\n",
      "Requirement already satisfied: aspy.yaml in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.0.0->paddlex) (1.3.0)\n",
      "Requirement already satisfied: virtualenv>=15.2 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.0.0->paddlex) (16.7.9)\n",
      "Requirement already satisfied: identify>=1.0.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from pre-commit->visualdl>=2.0.0->paddlex) (1.4.10)\n",
      "Requirement already satisfied: Babel>=2.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Flask-Babel>=1.0.0->visualdl>=2.0.0->paddlex) (2.8.0)\n",
      "Requirement already satisfied: pycryptodome>=3.8.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.0.0->paddlex) (3.9.9)\n",
      "Requirement already satisfied: future>=0.6.0 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from bce-python-sdk->visualdl>=2.0.0->paddlex) (0.18.0)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from Jinja2>=2.10.1->flask>=1.1.0->paddlehub==2.1.0->paddlex) (1.1.1)\n",
      "Requirement already satisfied: smmap<4,>=3.0.1 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from gitdb<5,>=4.0.1->gitpython->paddlehub==2.1.0->paddlex) (3.0.5)\n",
      "Requirement already satisfied: dill>=0.3.3 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from multiprocess->paddlenlp>=2.0.0rc5->paddlehub==2.1.0->paddlex) (0.3.3)\n",
      "Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from importlib-metadata; python_version < \"3.8\"->flake8>=3.7.9->visualdl>=2.0.0->paddlex) (0.6.0)\n",
      "Requirement already satisfied: more-itertools in /opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages (from zipp>=0.5->importlib-metadata; python_version < \"3.8\"->flake8>=3.7.9->visualdl>=2.0.0->paddlex) (7.2.0)\n"
     ]
    }
   ],
   "source": [
    "#导入paddlex \r\n",
    "!pip install paddlex  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset Split Done.\u001b[0m\r\n",
      "\u001b[0mTrain samples: 684\u001b[0m\r\n",
      "\u001b[0mEval samples: 127\u001b[0m\r\n",
      "\u001b[0mTest samples: 42\u001b[0m\r\n",
      "\u001b[0mSplit files saved in work/PaddleDetection/dataset/MaskVOCData/\u001b[0m\r\n",
      "\u001b[0m\u001b[0m"
     ]
    }
   ],
   "source": [
    "#划分VOC数据集\r\n",
    "!paddlex --split_dataset --format VOC --dataset_dir work/PaddleDetection/dataset/MaskVOCData/ --val_value 0.15  --test_value 0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio/work/PaddleDetection\n"
     ]
    }
   ],
   "source": [
    "%cd work/PaddleDetection/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#制作COCO数据集\r\n",
    "#提取文件下img目录所有照片名不要后缀\r\n",
    "import pandas as pd \r\n",
    "import os\r\n",
    "\r\n",
    "\r\n",
    "filelist = os.listdir(\"dataset/MaskVOCData/JPEGImages\")\r\n",
    "train_name = []\r\n",
    "\r\n",
    "for file_name in filelist:\r\n",
    "    name, point ,end =file_name.partition('.')\r\n",
    "    train_name.append(name)\r\n",
    "\r\n",
    "df = pd.DataFrame(train_name) \r\n",
    "df.head(8)\r\n",
    "\r\n",
    "df.to_csv('./train_all.txt', sep='\\t', index=None,header=None) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!mkdir -p dataset/MaskVOCData/ImageSets/Main\r\n",
    "!mv train_all.txt dataset/MaskVOCData/ImageSets\r\n",
    "!mv dataset/MaskVOCData/labels.txt dataset/MaskVOCData/label_list.txt\r\n",
    "!cp dataset/MaskVOCData/label_list.txt dataset/MaskVOCData/ImageSets/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#备份VOC \r\n",
    "!cp -r dataset/MaskVOCData  /home/aistudio/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Start converting !\n",
      "100%|██████████████████████████████████████| 853/853 [00:00<00:00, 10396.30it/s]\n"
     ]
    }
   ],
   "source": [
    "!python tools/x2coco.py \\\r\n",
    "        --dataset_type voc \\\r\n",
    "        --voc_anno_dir dataset/MaskVOCData/Annotations \\\r\n",
    "        --voc_anno_list dataset/MaskVOCData/ImageSets/train_all.txt \\\r\n",
    "        --voc_label_list dataset/MaskVOCData/ImageSets/label_list.txt \\\r\n",
    "        --voc_out_name ./dataset/annotations.json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "提示:AssertionError:label is not in label2id. 假如遇见这个问题，说明你的label对应不上标注文件里面的label，在打标签的时候不要有空格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!mv dataset/MaskVOCData dataset/MaskCOCOData\r\n",
    "!mv ../../MaskVOCData dataset\r\n",
    "!mkdir dataset/MaskCOCOData/annotations\r\n",
    "!mv dataset/annotations.json  dataset/MaskCOCOData/annotations\r\n",
    "!rm dataset/MaskCOCOData/train_list.txt\r\n",
    "!rm dataset/MaskCOCOData/val_list.txt\r\n",
    "!rm dataset/MaskCOCOData/label_list.txt\r\n",
    "!rm dataset/MaskCOCOData/test_list.txt\r\n",
    "!rm -r dataset/MaskCOCOData/Annotations\r\n",
    "!rm -r dataset/MaskCOCOData/ImageSets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/__init__.py:107: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
      "  from collections import MutableMapping\n",
      "\u001b[0m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/rcsetup.py:20: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
      "  from collections import Iterable, Mapping\n",
      "\u001b[0m/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/colors.py:53: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
      "  from collections import Sized\n",
      "loading annotations into memory...\u001b[0m\n",
      "\u001b[0mDone (t=0.01s)\u001b[0m\n",
      "\u001b[0mcreating index...\u001b[0m\n",
      "\u001b[0mindex created!\u001b[0m\n",
      "\u001b[0mDataset Split Done.\u001b[0m\n",
      "\u001b[0mTrain samples: 684\u001b[0m\n",
      "\u001b[0mEval samples: 127\u001b[0m\n",
      "\u001b[0mTest samples: 42\u001b[0m\n",
      "\u001b[0mSplit files saved in dataset/MaskCOCOData/annotations\u001b[0m\n",
      "\u001b[0m\u001b[0m\u001b[0m"
     ]
    }
   ],
   "source": [
    "#划分COCO数据集\r\n",
    "!paddlex --split_dataset --format COCO --dataset_dir dataset/MaskCOCOData/annotations --val_value 0.15  --test_value 0.05"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 三、数据处理方法\n",
    "\n",
    "### 3.1 图像的本质\n",
    "\n",
    "&emsp;&emsp;我们常见的图片其实分为两种，一种叫位图，另一种叫做矢量图。如下图所示：\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/b6c319518b3c44f89a91ef10cfca7e610cce9f4e4587440d918d6357987d672a)\n",
    "\n",
    "\n",
    "位图的**特点:**\n",
    "\n",
    "*  &emsp;&emsp;由像素点定义一放大会糊\n",
    "\n",
    "*  &emsp;&emsp;文件体积较大\n",
    "  \n",
    "*  &emsp;&emsp;色彩表现丰富逼真\n",
    " \n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/be5c6b3850c2497eb30f027b4e363b3bea90ea63a3074fa9bca0fdf7d061de37)\n",
    "\n",
    "矢量图的**特点:**\n",
    "\n",
    "*  &emsp;&emsp;超矢量定义\n",
    "\n",
    "*  &emsp;&emsp;放太不模糊\n",
    "\n",
    "*  &emsp;&emsp;文件体积较小\n",
    "\n",
    "*  &emsp;&emsp;表现力差\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/aistudio/work/PaddleDetection\n"
     ]
    }
   ],
   "source": [
    "%cd /home/aistudio/work/PaddleDetection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import paddle\r\n",
    "import paddlex as pdx\r\n",
    "import numpy as np\r\n",
    "import paddle.nn as nn\r\n",
    "import paddle.nn.functional as F\r\n",
    "import PIL.Image as Image\r\n",
    "import cv2 \r\n",
    "import os\r\n",
    "\r\n",
    "from random import shuffle\r\n",
    "from paddlex.det import transforms as T\r\n",
    "from PIL import Image, ImageFilter, ImageEnhance\r\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JMkxK3EMrAPaTzwe2M2A5D3re7YwPbDOs/k8hppPfarWazLvH4xG6ogVBGqKbyOdSwOm5IQ8Q26Elwt8cDodYX8x1eeWVVzro9HraDSUs2u02CoWCxMXZdEKLnmxtaWhm38mMs5tm79c01qAFFO+lGUv7h3pS7BgEsI0vsOnfSXB8Fl0jDcBqQai14E7H7X21j7XdBSExut1uMXs5BryXPtfj8cDr9YrWJIM3Gg1UKhX4fD5sbm7iyJEj8Pl8KJVKIiB9Pp/cWwN6iURChKV+Z7t2ZX88Hg9GR0eFdkZGRtBsNlGtVlGv10Xo8Xz7O9sFpQ4la5BcKytardrtswsTDTprJajHkM/QStEuxNi01aGFlN0N0X06d+7cNYrwetoNISwI0FiWBZ/PB4fDgUqlAmArMQnoZDLtgmgpTMDI6/WKic/feL02/7XWtWMfdgtE30MTkR3htmMP2vLgdzsTkDmoNTQiz2vtfSIRaNcA6MRyOFb6Ny20ODZ2IcdELAow3ofETPM2Ho/D4/GgUCigVCrBNE1Uq1WkUimEQiE0Gg2srq7C6/XCsiwcPnwYpmkiFovB5/NdY3YTuNRWlWYmjoFmVroU1WoVfX19ME0TxWJR8iko+PT8k9nYNB3o7zsx5E4CmXSg3ThqeW318lz2n26Ijsjxem1haKCZ/WS/+KxWqwWPxyP3feGFFyRL9T+VsDCMLeCHUlinK/M/iYiaT0tSRh50HoA27fRztLtC5tHX2QEpPUlAp5bVloOdeNi/na7V1oPD4RBT1c7gGuMAtq0QEhHfhaCkxll0P/kcvq8WeIODg1hdXe0QdJwHMhQXK2lm8fv9iEQigk/oNONEIoFYLIb19XVJMx8eHpZ79/b2dgB0mpi9Xq8IPI6DnYm0y0WsxOPxIBaLoVQqCVbBVa32pDfN3HZgU//OcdQLzHZykUknBB45/3peNADK9yYNaNogfej5JxDKede4hHZlAWBtbQ1vv/02arWajNGH4YIAN4iwADrXWlDjkPBbrZYAe1w01NvbC4/HIxEBrVFrtVqHJgG2tedOJj3QGXmxuxQaKOSkvVtWn5bk9sxHoBPU4vXUfmyawe0uC5+jf+M4aW2p0Xp+1lYBn1EoFDre3+PxwO/3IxgMYmlpSfqr/X3TNOH1eqXflUpFmDaTycDpdKJYLGJtbQ27d++WPAvD2Mqp0GCy3UWzYxPspxYqmtFqtRr8fj96enpQqVRQKpVkKTuVih2f2Qm/0XOuLTWm/fO9yfg65M451323MzOFgV46T+Fjx7I0sK2fpXE03RcKq4WFBZw8eVKUraYDu9L7VdoNISyo3bVkbjabHZKVzM/1EtVqFT6fr2NyW62WCI96vQ6fz9dBAGx6ojXR6P6waevCbkEA20Cmdk04oZpId5o07bPS5NXEqy0dbcFQw2im0ufpnBI2TWiMqoRCIakv4fF4BGMoFAqyCpSRAjID8xei0SgMw0AymZTU7b1790rYdHBwELFYDIFAQBaFvf3225JnQGbRhG93n+wp2do9owmeyWSwZ88eqWVRrVY7hKJ9HDgfWuNroaTnj2PJZxGk1BiWdl30cd6z0WiI5auVBC1Dvqv9nrRs+Dv/a17RFvDMzAwuXbrUYb3SnaNldb3thhAWAFCpVMRU1qi7XmHJ5B3D2IosMKbP0JvdlKQZqi0IbYKzUSM4nU5JNNoJiLKbnVpI2AFRjU/oRBpNYGx20E5bLjthJPpedqEUiUTQbDZRLBY7rCAdhna5XJLrwAzFZrOJ5eVlWJYFr9eLYDAoBO1wOMQ9YKq5w+HA0tISstmsEOj58+cxNjaGU6dOoV6vo6+vT+bB7XbjgQcewLFjx/Daa69hcXFRTGUtEGgR6IgU54fn8Z6maWJ8fBzValWSwJh8RIbSbgvpiVEJzjPHlApJj792zVhAh4JdP4d0q8OmnFe+p6Y1O5hJF24nMJqNlpwGTJ1OJy5cuID5+fkORaGV34dlWdwQ6d5sZCot4Wkp0GqgxK3VaigWiwJmcdES4/zVahXAtav13o1ZNY7B6zSB7mRV2F0X3munsKR2G+yukcvlQigUkmNs2sXhve19ozClgMrlclJdSvvodFUIIjudTnR1dYnWa7e3IhRcwFYsFjvu29/fj7W1NRFCqVQKAMTFyOfzWF9fx5kzZ+ByuXDw4EFYlgW/34+DBw9KOvjp06extrbWwSgcEw2qanCVY6rP4bUUgpx/+z31HAOQnBB+15mc+hpNI1p5EEvQfdaYgk4co1Ws6UVbMhQYdvyGFjbfg/TLuhVaaFarVczNzXUssbePk105/qrthrAs2u22JABxPYJ2G4gqM6WVv5MhtF+pMYNyuSzhvHA4LGs37CmxwHtLX7uJzGYnRm2+2v1gzehAZ35Bq9VCpVLBvn374PF4kEwmO/IW9PNoSWiC4XFquUwm09EXCt9gMCjaLxgMwu/3I5PJIBaLwe12o1qtYnFxEQCk+lKpVMKVK1eQSqUQjUbl2U6nE+l0GrVaDdVqFRMTEzh27Jj85nK58LnPfQ4nT57E4OAgGo0Genp6EI/HceeddyKbzSISiSCZTOL06dPy3GAwKIlLLMmniZ70QW3N59MFsa+45H8KRW0t6XHV2Iy2FnXkRWMPuvEc7RpoptfYFZsGMO3vyDHUOSYUBnRrKDxefPHFa/pFumMfPowVp8ANIiyArUll+FSbdu12G5VKRTIPSaycFII52ien+8GBpsQH0CGBgW1QjcLCLhD0sZ18WjuwZY+SsO3kM9rdiytXrogZvmfPHiwtLcHhcHQAVpubm+L/ctxarRai0Sjy+XwHmMm+kZApgNPptAgDWmAMVY+NjWFiYgL//M//DIfDge7ubtxxxx0YGRmB3+9HtVrF+fPnBecIBAKCIV25cgWZTAYulwu7du3C6dOnkc1mkU6n4XA4sG/fPhSLRSSTSXR3d8MwDPT19WF8fBz79u1DPp8XwcFCOpubm5KNyfURXJzFOU2lUh3ug8aAgG3mIQ1pzc55oIuhrQV9vb6/dkd5jbbiOC8arNcMTGtCYxakAQotgvSadkgrpmni1KlTsrrXbk1oAaNxkuttN4SwaLfbHS4G/UKamJVKBZlMBpFI5Joknkql0hEe4+SREQlyMnKiQSMdXtTSm8/Xfp+9vzuZusDOdQxIjLt378aFCxc6BAuJjysqOQYzMzOiYQuFgvQtHA7D5/Mhm82K+X3bbbfh3LlzMmYkNOIv9v7V63XEYjEUi0VMTU0hGo3i6tWryOfzKBQKOHnyJO6++24AW0vDn3rqKVy6dAlutxuBQABDQ0Nwu93o7+/Hvffei1QqJZEQ09xagUuifvDBB+H1eiVq8swzz8DhcGBkZAT33HMP3nrrLezbtw+BQACJRALJZBITExMYHh7Gq6++iqmpKSwtLXWEltnq9TpyuZxgWPb0aWITmq6YLauVhZ5Tzo0G2ikYNPZEGtN5Mdq91MJAuz3astEWiY4AUhhqt1njas8//zzy+bzQrRZE2mrSguPDEBg3hLAgsEVmt09wKBSCz+cTwQB0osm69BiXKrPOIidb5yW43W74/X4xzSlY6K9rs1FPOvuqtRKwzfT2BCb+xmNk6O7ubilQWyqVUCgUxD3QbgYFGjViu70VnuR9vV4v4vE4zp8/L0KA5i2BX35mv/VfLpfD5uamgJyVSgUrKytwu9148cUX0Wq1kE6nYZompqen4XBs1crM5XJotVrIZrMoFApYWVmR0n/9/f14+OGHEQ6HBTth5qbX68WXv/xlbGxsoNFo4Cc/+Ymson311VfF5Tl79iwcDgcOHjwI0zTR19cHr9eL1dVVsS5ozWhQkeOsXVWgc92E1uJkWI1J8FxtEWitze/6HB3e5Hjr6JYd/+C1fJ7+TR8nDfFeLpcLJ0+eRLFYFBrQFq6+hr/bwfrraTeEsAAgVZB1dht9uoGBAaytrXWYoEBnvUjT3Kp0lcvlxD9Np9MSqstkMqhWq2LS6z+mLQcCAfj9fiF8XS1LYwJ68HU6NgWGBjjtrdVqYWNjo4PYACAQCIjG4uInahzel4TJe3NFJYUTraH+/n44nU5sbm6KaasjNs1mE8lkEj09PVhbWxPAcn5+HpFIBIODg7h8+TIMw0AoFML09LSAmz09PRIpGRsbQy6XQ09PD0KhkDx7ZmZGiuSWSiWUSiUMDg7iwIEDuPXWWzE0NITz58/j5MmTcDqdWF1dRavVQnd3N6ampiS6de7cOZw6dQqNRgOhUAgjIyNSu5N1PbSQ1POhrU+ep8Fghp+1r0+BoAUq54wuAOmtXC6LtaMBzndL8NN0Q8Vldye1e6PdHCqsp59+WqKBpH/tStm/s786unM97bqEhWEY8wAKAFoAmpZlHTEMowvA/wNgHMA8gMcty8q8130oGfmi9Nv5gva4sl7GSy1BzENL2O7ublkS7PV6BT2mYOJANptNlEolZLPZjiI2TGemP0vTVAsrbWJqP1cj7JoIeZ0GPg1ju2iszmug0HxnrDsElzYxiR/QzUomkx2hUt6H1obP50O73cbGxgYMwxAh2dXVhVAohL6+Phw6dAgXLlwQzf+xj30My8vLKBQKGBsbk6gCl5gDwOTkJHbv3o3l5WVJ219cXES5XIbP58Ps7CwAYGhoCKOjo/jN3/xNXLx4Ea+99pqkhw8MDEguRzgcRiKRwPLyMtLpNAKBAHK5HEZHR+X+jIxpWgKuxYg001CwaDfBPneaDklzulK7FgqkQY6DnTHttLAT/b/bcQo1gsk6QU6/i1ZMfJ7G224UN+RjlmUl1fc/BvD/Wpb1342tPU7/GMD//n43IaPYQZlWq9WxZwU1g05K4qDogaNbwUhKLBYT8LPdbosQoQYqlUpoNpuS0ej1erGxsSEMxsVIwWAQXV1d8Hg8ghFQs1DDaY2iNZU2cSkwaEYDnUvEKZg0KEfCsS9dNk1TAEq72dlqtWQcAAheQVyjVCphcXFRhKDL5UIikUC5XEZPTw/uuOMOrKysCGjM8v0MVRYKBUSjUQwODuL06dNYWFhAMBhEIBDA3r17cf/992NmZkaY+siRI2Il7d27F4cPH8YnP/lJXL16FRcvXsTrr7+OdruNnp4ejI6Oolarwev1wuVyIZlMYnR0FLOzs/B6vcjlcujq6pL50qXwNR7ADEnSBMeYYDo1OOeRSw44f3ZlphWEzqvQikqDjvb0fR4nfqKjczpFnP3f2NjAqVOnrskD0QpEA9paiWmr53rbR+GG/CaAh975/I8AnsP7CAutZSnhNbpM4rYDSdqs48BqQXPo0CG8/PLLcDgcAgiROCKRiBABAMRiMVQqFZmAcrmMRqOBcrmMSqUi2j6VSmF9fV0mjq4KzXO32y35CoyLa3BKbwbEd7BPpiZYt9stxVtMc2tdhdPpxNzcHABIjQRaDrQaDMOQhCku5DLNrUVWhUJBLBGmZ+/btw9+vx+XL1/GysoKwuEwBgcHsbGxgUuXLmFyclKWjpdKJfh8PgGd5+fnAQDT09NotVrw+Xzo7+9HIBCQewPArbfeilarhTNnzsDr9UruRq1WQzKZxJtvvgm/34+5uTmUSiUsLy/L9gWNRgPRaBTnz5+XEPqdd96Jubk53HfffSiVSpidnZXwMOmADEkLjGF2bZFqIa7BTDZ7SJXHyOAaVCcj03WkZajdEM45n6FBUt2HRqOBl156SbJsNQahLRutkHiMfWT7MHCL6xUWFoCnDMOwAPydZVl/D6DPsqy1d35fB9D3fjfh5GggUZv21BS6joM9XMr7aE3Asmp6ImjKFQoFISANUAWDQfHVNTjaaDTE3GU1Jt1fgk5+v1/MV6fTiWAwiGg0KtaJx+PpMHe1ZtIEZZqmrLFoNBqSnEYBxJwDLuDSe5rQraHAKhQKkiHrcrmwsbEBt9sNj8eDAwcO4OLFizh79iwikQj279+PH//4x6hWqzh79iwA4Ctf+QoSiQSq1SqefvpptNtbCVy9vb2Ix+NIJBK4dOkS+vr60Gq10NfXh3vuuQfNZlPWkLTbbfT19QmjVyoV/OIXv4DT6cT6+ro8e35+Hvfddx+uXLmCVmur6C6jOqlUCvV6XSp3P/fcc+jq6sKZM2dQrVYRi8UwMjKC1dUhBu2tAAAgAElEQVRVscCISdFa0zkH9rC4zm3Q1h9pR2fn6t/JlDy+E+PbgUuNIenVvxRCzWYTr776qkTIGo2GCH2XyyWWMV0jWoZaAGke+TDa9QqL+yzLWjEMoxfA04ZhXNQ/WpZlvSNIrmmG2r6QFZjtwoITrQWC/p1NTyonwuVyIZ/PS9iOUl/fm8ynUfFisSj+KU1CYEuIcOc0Th5Dvlzl2G63BVQkURKD0OFECpJAICBb8nGyeQ4nulwuI5PJyPV0W7q7u7F7925UKhXkcjmk02kYhoE9e/ZgdXUVHo9HohDJZBKhUEjqY1rWVoZmKBTCU089hVgshng8joceegjnzp3DoUOH4Ha7kUgkMDY2hlQqBbfbjbGxMXzta1/DrbfeKlW1T5w4gQMHDkjVblocx48fRyqVwtjYGA4ePAiXy4Wf/vSnuO2223DXXXdhfn4efr8fgUAAhw4dwr/927+h2WxiZGQEly5dknRxMgYFX61WQyaTgdfrRSwWkwxGAOjq6sKrr74qoVi6V5xbnROhFZQGEzWd8Ty6xhqU1oKD59jpUUcp7P+BzkVlui+maeL48eOyeBKArIPis5gST9dXuyh2YJb0dL3N+DCADwAwDOP/BFAE8L8BeMiyrDXDMAYAPGdZ1vR7XTs0NGR94xvfAHBtanMkEsGxY8dEo9mFhF6EQ+nPQVpaWsLAwEBHcg21C1OctTmq/X0ds6cpz/s3Gg14PB7BLbSvC0BcmHa7LYlPzWZTfGr6zoZhIBgMoru7G4lEQkxNloqbnJxEoVCQgrgLCwsoFosYHx8XgLG7uxvJZBK5XA5OpxODg4MolUrw+/14/fXXcfXqVXi9XhGC+Xweu3btkuSu/v5+VKtV5HI5uN1u2f4vm81i9+7dGB0dxdzcHAYGBjA0NIRkMonDhw9jbW0N586dk+QxumGpVAr9/f2YmppCsVgU9+6NN97AyZMnZQOhoaEh3HvvvZibm8NPf/pT+Hw+hEIhRKNRLC4u4pZbbsGTTz6JbDYrGaCLi4sCxmYyGRlDbsIci8VQLpexe/duuN1u3HnnnfjFL34hWwzQXdVZmZpJtcUAoIOJ36FxOY/fqcntOBWFimZcbcVoQaNXHJumiZ///OdyHq1HjXPopjEK9tMeBSLYOTMz84ZlWUfeixffq/3KloVhGAEApmVZhXc+fwrAn2Brm8L/BcB/f+f/D3+Z+9pRbAKM9gQZPZF2q8QwDDE9+ZkuhN0f1UChfr5O2CKjA9tId7VaRa1Wk/4R7CTDcX2K3+8X0BTYSiIrFAoSIWDaczAYFCEWi8XQ29uL9fV1+Hw+iS60223ccsst6OrqwuLiIlKpFK5cuYKuri4cPXoUoVAIP/vZz2CaptSgoI9eLBZRqVTQam0Vx+V45XI5pFIpTE5Oim8MbAGGc3NziEajQnzhcFgiEpZl4cEHH5RdxQzDQKVSQTwex8jICGZmZgBsZVcWCgURUMlkEul0GrOzsyiXyxgYGMA3vvEN/M3f/A0qlQoSiQQOHz6MoaEh7NmzB2tra7h48SLi8TiGhoawubkJYMvS0xWruciwXq9jaWmpQ7CdO3dOMkC1K2LHuDSmpTEKMh2bPTHQTrf2MCYFkz3qQdplfwzDkJwZTX8aILe7MBrY1LSshaGm2+tpv7JlYRjGLgBPvvPVCeC7lmX9N8MwugF8D8AogAVshU7T73WvoaEh6/d///fFDNfm4MDAAA4cOIDnnntOIhv2SdISlcw9NjaG4eFhvPbaa3KOrn1ht1KA7TUodjNS35vHdOxdJ/nwd+3G6KgG+8EwLzGObDYrGsbv98Oytjbu6evrQ29vL5LJJPx+P/x+v2zyOzQ0hEwmg4GBAZRKJczNzeHq1atYWFgQ5jAMA2tra3A6nVII1zS3qlVRCFMQElMJhULo7u6WOhHRaFTWXgwNDUlSGWtqMrw8MzODZDKJ3bt3y76jvb29ME0Ta2trWFhYgN/vx9mzZ5HNZpHNZpHL5ZDJZDrmiJiKw+HA+Pg4fD4fUqkU3nrrLRFOyWQSsVgM7XYbiUQCbrcb0WgUPp8PuVwOPp8PIyMjyOfzmJiYQCwWk1T0QqHQUaaArp22GjQeQUbTtEPa47UUHlrI6Os0iK+tEZb9q9frmJmZwcLCQofy0tbwO3zXQX9aSbIfVDo6L8Q0TVy8ePHXY1lYlnUVwG07HE8B+Pgve793iwmb5tauUzrioUNC2vXQUYdAIICNjY0OAaJ9N56nn8dcDLognFSdLQpsm4dkMlo8+t7akuGfxkAYuWA/uBlOs9mUClS1Wk388kqlgttvvx2nTp3C7bffLlgGGWZtbQ35fB7ZbBb9/f1YX1+H1+vF5cuXUSqV0GptlcGzLAvDw8PCYOwzAbF2e2u3r0KhgFgshrW1NQwPDyOVSmFwcBCmaaJQKGBzcxMbGxvweDzo6elBJBJBJBJBNBrF3Nwc/H4/XnnlFcTjcQwPD8PhcGB4eBgejwenT5+G1+tFb28v+vv7Ua/Xsby8jCtXrmB1dRUAJPo1MDCAXC6HZDKJ/fv3o6enB2fOnEFPT4/kpvT29qJcLiOXyyGbzcLn86Fer2NhYUEiRwSBCRQyYkEFwGiSBpg51wx76miKph97VEXTqZ5/KiOeR5rM5/N49tlnO5IA2QdaO3brmZgJXV+dd6H7BkAyk6+33TAZnEBnSFQPKomdphklpk7d5aQTnHS73ZJGrTUEIx+aaTmJbDo2rV0aCg8KFMbitRZhP/S6DDIh70f/OZ1Oo6urS4TO8PAwenp60N/fjxMnTqBWq+H06dNSr/InP/kJurq68OKLL+ITn/gEisUi4vE4zp07h42NDbkPy9nRwigWi/B6vbh69apEgrjxzujoKAYHB1EsFpHNZsVHDoVCuHDhAmq1muwqVqvVBDfxeDy4/fbbJfRJa6BarSIYDEqOis/nk/UqiUQCe/fuxaOPPopf/OIXyOVyuHr1Krq7uzEwMICXXnoJt912m2Adm5ubOHHiBBwOhyxiW11dRTwel+gTFYDP54PH45El9ARFed65c+cwOTmJUCjUEYKkFbuT5ua9da0JumkUMHb3Q1sd2oXROIXGwkqlEl544YWOlAHdF9YP1Ra1BuuJmdlD8Vp5fVjthhEWdtCHLxsIBJBOpzvqKGp/UCPTwLag4QY32m/TcXAyrC7Bzkm14xicRO3fUlprIaZNWA0u6VBavV5Hf38/wuEwkskkNjc3MTU1hUKhgPn5eZw/f77D4qjVahI+Y6LS5OQkIpGIRBNM05T8A+aKVKtVZLNZZDIZWdMRDAZhWVup3R6PB7fccgsMw8CVK1fQbrc7EpuYXNXb2wvD2KqI5fV6sX//fiQSCWSzWVnsFo1G0d3dLQlU6+vrKBaLOHbsGBwOBwKBALLZLDY2NvBnf/ZneOSRR7C2toZYLIa9e/dKpGZwcBDlcllyLAj2jo2NYWZmpkNrUzjU63VZM6TBT9IAk7dcLhfefvtt7NmzB5FIROaWrhgFDCNTdtBcA9ica/scc92KtjA0LdmZd2VlBWfPnu2gdzsdacGhQ+36nrovFCz2vU01Pf+q7YYRFvqlNcDk9/tl7YCeGA6cPSmGkx8KhVAsFndMpAG2y44B6Hge+8LjbPxdCwYtQPRCIlomJGwSkcvlwrFjx/Dcc88hkUhgYGAA0WgUy8vL8k5c2Tk4OIihoSEMDw/j5ZdfllAhIzCRSASvvvoq5ufnUSgUYBiGlMLbqVBxs9lELpdDs9lEIBBAb28vKpUK8vk8AoGALBCjxmSUhNYG165w9Wlvby/m5ubEdZudncXa2hqmpqZw5MgRxONxWctz5swZqZr1V3/1V5ibm8P58+extLSE6elpzM7OIplMYmxsTBZLud1uVCoVVCoVpFIpOJ1OsZzS6TS8Xq+kmofDYZTLZdlGIhgMyiKzdnt7PU0wGMTly5dxyy23CFbEqJLD4RALkm6ndmE102vcSpv3nGNasBrnAjr3xVlaWsKFCxc66N8ekdP0rFMDtNDRn3XSnx3M/TDaDSEstEa3gzd2VBroNPv1AHNiqXnoYrDtZGXQOtCTxWfw/vo4J0Anv+wUUdEZnnSNjh49iuPHjyMQCKDdbiMYDCKTyYh/HolEZH3HzMwMrl69CgCYmpoSIUDAsdVqYXZ2FoZhyD3GxsbQam0Vv0mlUuKmMXTLd6T2pyXBRC8KTYKAoVBItmIoFApYWloCsFXzotlsCoawsLCARx55RGpavP7663jggQdEODGz9dSpU1haWsLBgwdx9OhRvPDCC3j22WdhWRZuu+02WSk8MTGB1dVVVKtVdHd3Y21tTcoFttttwXYCgYDMezAYRC6Xk7wD0gItBdIRc0y4jIDuAJnRXqjGHsHQbocdB6DVyudohaFdEQCYnZ2V52rXQVuiuulwrp3e7AqQ1hDvq/HA62k3hLAAOmsA2F2NQqFwjZTm7zp8ShxBZ0XqRV9AZ50CgqY6cQfANW4F+6dNS56n17JQkNjj6YODg8jn83jttdckCcs0TbEo6Kcmk0kEAgGkUik89thjSCQSopHJGBMTE7h69Sp27doFp9MpUQan04nFxUWUSiXkcjmEw2ERaLQcKChyuRxM0xSmY4YlsyspXICtHcn37t2LcrkM0zSRzWYBbIVcDx06hO9///vo6urC+vo69u/fD7/fj4cffhitVgv5fB6hUAitVguJRAJf//rXcfbsWbRaLTz99NOIx+O49dZbcf/99+Mf/uEfRLB4vV4p+nvp0iV0dXWh1WrJQr9YLIZsNotEIgG/349Wa6vSWCAQgM/nk2gH9y3p6elBtVqVCMqlS5fg9/tx3333oVgsdqSE25nXnqilhQvpQFumxDjoDmjXxencqpe5uLjYwdD8rKNpdt4gTzC9n01bHwRtNe3qJL/rbTeMsNAp12Q81ooEOjU9tZ/2DYkaN5tNyatgrgGwnWSlQS3eT9cdoNVgF048l02DYJqYNAjKMF8ikQCwFW3x+/2SrBWNRsW0djgcEnKsVCp48cUX8fDDD2N8fBzxeFw0JMflX//1X2XxG9PaGZEAICY8718sFmVBGWtMuFwuESIUdHTvms2t/U6LxSJOnjyJ6elprKysCB5y6dIlXLlyBR/72MdgWZYU72WdkPX1dezevRu9vb14+umncfr0aRw/fhxf+MIXsLy8jEcffRSVSgW1Wg1PP/00ms0m9uzZg/n5eZTLZZm3PXv24OLFi6jX6xgbG0Mmk8HS0hJisRj8fr/sE8K08o2NDcTjcaRSKZimiXg8jqWlJTidTslKHRgYgGmaOHnypFQG57tzDqlEgM5q4vbwKi0JKiYdLSGTMhJy9uxZwWK0haBBU219aLCTz+QKaD6flqvGzihYtML9MNoNIyw4QLq6NrW/xh04gCRwTdw87vF4MDc3J8eBTvNSE4KOeWvAUmsE/Wy9yS6P2bEOTiI1OIE6RiCYh8G1KoZhSKJVqVTC3r174fV6JVrCfUIdDgdyuRxOnz4tqc9c6EaNTyDS6/VKhS2GkrXrxvCiflea+KwwVSwWBW9ZWVlBMpmEaZpYWFhAq9XC0aNH8Y//+I9oNpv4/Oc/j+7ubly6dAlvv/02hoeHcfjwYdRqNXz605/GQw89hHw+L1GRaDSKN998U7CCxx9/HN/5zncQiUQkGWthYQEbGxuylP35559HvV5HPB5HMplEsViU9SjtdhupVApdXV1IJBIIh8OCv4yNjSGRSIjmZS2Mvr4+2byZYVMyOQUDGy0KrWjsoX57XgWZv91uY3Z2VqJUPHenDFHSBu9D4aEtFe1iECPTZfhIm9oi+TCwiw8t3ft62uDgoPXVr35VBphM7vf7MT09jTNnznTk4nNCNShJf43LpjOZDMbHx6+JT7Np801HQLS1oMOh2mwkc1E7aGHBvtvj7DpBhhq+1WphYGAAm5ubkgdhmlvrYarVKo4ePYpdu3ZJ+vh3v/tdPPLIIzh+/Djm5+dRr9dx9epVqYXJmg9zc3MSDeD7UFvq1aztdlvuzd/oihC0ZRKRw+HAxMSEVLECIDU/9uzZg5deegnRaBQulwuf/exnUSqVMDY2hnq9jt27d2NqagpTU1MolUowDAM//OEP8e///u+Ix+Po7u7G0tISotEoHn74YXzrW99CV1eXhHRbrZZYZQRAg8Gg9Jfrf5iWz53JGI6kYCZOQ6sK2KqtEQgEcMsttwDo3BqTdMHPnGMCmPbWarU6tsvk/d544w1JiNNgu3YV2HS0DuhMBtRJflowEejXkRLyi7ZgXnvttetKyrphhMXv/d7vAejMsff7/RgaGpKiKZx4uiHaR9MTQVNeI9t6XYcWBAA6GJnPJqHZY+NseqI5udTC/F0LC040BZpeiGaaJubn57Fr1y6Mjo4iGo0iFApheHgY4XAYFy5cQCqVwj333IP5+XmcPHlSQq9cSOVybe2azR3MKSB1WT0SlF7WzsVKJEbWtKQVpQFel8uF6elpWQbOzYOKxSLuu+8+VCoVYeRqtYrJyUkAwEMPPYRAIIA9e/bg9ttvl0pbb731Ft544w08//zzePDBB/HMM8+gv78fv/3bv43l5WX84Ac/EAGaTqdFMA8MDCCdTgtmQYHZ3d0tSW2kBV01nu5Rq9XC0NCQhIfj8Ti8Xi9uu+02wb44h9rdpODUyVD2uabQ4vi/9NJLyOVyO9IarVktODRgrn9zOBzX5FsA6KA9HXq1V/Hyer14/vnnr0tY3DD7hnDwdS67Hnwuxeag8nwNhlIT8D+1N01KMr895KX9TmBbYGnBtRN4xKZNPC2IGAbt6elBOByGw+FAT0+PECMFRT6fl7JzxDH279+PwcFBuN1uHDhwAF/+8pfh9/vR29uLQ4cOIRKJYGlpCevr64Jp7Nu3TxZjcbm6RucZRqTZqt+x1WpJCrrGdbSVZZom3n77bVy4cAEzMzOo1WrYu3cvBgcHcebMGYyPj+OLX/wiCoUCvF6v1Ll47rnn8PLLL2NxcRHnzp1DuVyWDNLxdyp7nzhxAiMjI2i1WnjyySdlRznuTxKNRiUaks/npY4qAKm7WiwWJafENE0Eg0GYptlRMIglA5j9qZeAZzIZYVD6/FqDUwCRjjR4rt1RurNMaddAqHaFea4WFDyP/3U5A9KtVpCkM21t6zVBdvq8nnZDYBba9QC2zTK/3y+TCqCj4pEGpOyMHgwGZR2IdkPsUQo9aXbcAdgGXfWk6cK/rHnBBWWa2RjqzGazYjI3Gg3cfvvtWFhYEGnPdSNE/PP5PMbHxyXn4fLly1If8+LFrQoATB665ZZb4Ha7kclkcPToUbz55puYnJxEs9mUAjW5XE6W4VPb9PT0IJlMdvjfgUBA8jUAoL+/H+l0WgQJIw6shVmv14VZCaJevnwZ4+Pj+NGPfoTvfOc7ePLJJ3Hp0iX4fD5sbGxgbW0NjzzyCF599VVMTEzgjjvuQCKRwMGDB3Hw4EE8++yzyGazcDqdOH78OILBIByOrT08m80mbr31VgDAlStX4Pf7EY1GsbGxIS5KMplEvV5HOBxGNptFtVqFx+NBOBxGLpcTN6VUKiGdTktxHy7FX15exuTkZAezsmkFQwGkoyIUymRY4ivahdX0paMeO+VWkCd4zN4nCnK9iTh5RNMWP3Pl8vW0G8INGRgYsJ544olr0FyuG0gmt6r2aV9tpygEwbL+/n6kUilZtq3RY71GRG8sw991VSW7ANGag0RAk11jHRo9ByARkHw+j/vuuw+vvfaagJ5s3EtjcHAQkUgEhw8fRqVSkUIvhmHg7NmzKBaL8Pv9WFxcRKPRQCqVQq1WQzwelxRrhg0pyIrFIjKZjDA8wbCenh5ks1nZSJjjyH1aiLxTK1P4snJYLBaDZVnYu3cv/H6/ZIx6PB7s3r0bKysrkoJdLpeRz+cRDAaxZ88ePPLIIzhz5gz27NmDO+64Az/96U8xPz8Ph8OBCxcudLh5rMXJ1O077rgDV65cEdOcz+UakY2NDYTDYfj9fgm1EgMrl8sSGi4WiwiHw1hZWZENkFwul+SykNntIDCtDw0Qk/nr9TpeeeWVjnR0DZzqCAXpd6fQph03YxEoHenQrjK/6xAuk+m6u7vR39+Pv/zLv/zP4YboCAfNTRKaaW6XfdeDSmbldcwYJLhnWZbUpgQ6qyFp5tDSXgOpOmKiGYZNA1MkFI2E6+ceO3YMTqcT58+fx+joaEdRnvX1dfT19WFgYADtdhvDw8OyOfH8/DwMY6ts/759+6RQzcjICGKxGI4cOYKxsTE4HA5MTk5KotfGxgZqtZqUAGQY2ufzIR6Po1qtYnZ2VoQIMyZptTGNmuYsCZEWBUOoTqcTMzMzeOaZZ7C5uYk777wTrVYLJ0+exOLiIo4ePSou09raGubn53Hp0iX87d/+LQzDQD6fx89//nM4nU6MjIxgaWkJ9913H/bv34+hoSHJ7ejt7ZWI0JkzZ8RH57YEo6OjEgmKRqMSUm00GhLVqdVqSKfT8Pv9wnwsFJRKpZBMJtFoNGRzaC7s0lsS0sKgMCYNAltu5UsvvSRL58nc2lWmotFRCnuIU4Pu7CewHQnUwLy+B+mQ8+Xz+dDd3Y3bbrsN3/72t6+bR28Iy4JL1ClNmYY7PDyMtbW1DoBINzIosL1q0jRNiSDQ3NcSXIdGKe01iMSmowB2H1EjzjxOv1drEuZ8FAoFSaziePf392NpaQmmaaKnpwftdhtDQ0OIRqPw+/3Yu3cv+vv7BfHPZDKiFSuVCubm5nDp0iUEAgGEQiGkUinZaYxLsZvNrc2C9+3bh/Pnz0u4kfkIdK8mJiZw7ty5DndLW0n0eZm/wgQuv98vIVo9xtTodKWmp6elhuYbb7wBALjttttw6dIlRCIR3H333Thw4ADuuusuPPXUUzh9+rTUHk0kEhLVYcYpw8/AVnEkZn5yXr1eLzKZjAg6FvUdHR3F+vq6RJyArR3eMpkMKpUKfD4fpqenYZomIpGI5MlQIGggk3Sgc1N++MMfdoDhFAocV72ylzQLbCspbaFqTERjR1pg8I95KTrq5nK5EI/H8alPfQpf/vKX+duvZ4n6h9nItGQwp9Mp0l8j0cx8BLZBpkAgILkZTOFlLoB2M+iC0GrRjEBGt6eZc/J0OjgJhtqXpqBeG8KJ8/l80jf6jEwWIypvmiZWV1dlifnevXvx/PPPo9Vq4c///M8xPj6OI0eOyL4cBM26urrEWpmZmRHNu7a2JkzDTMa5uTn4fD7EYjGJhnDtDNOpBwYGkEqlOjYFArYLCXFBWygUEvckl8tJGJLn1+t12c2cSV3nzp1DLBbD1atXZV3J2toaBgcHsbS0hB/96EdIJBLo7u7G448/jq6uLqysrGB2dhaBQACZTAalUgmBQEBKMFKI0gLgWLOgEK2fVmurNKHX65X3o8Bl4hzXwPh8Ply9ehU9PT0SiteRFU2vmjYcDgd+9rOfdViV2j1ldqZudkHBz3awXOdg6NXSmoZZ/Z6uB5c6fPOb35TFfB9GuyGEBbCdyKIRYTI6JSXQmURFCe1yuRCLxWQh0vLy8jXpr7ynRq2Z4EIrQye72LP6dNPREmpiDcJ6vV7ZDGZ4eBgbGxsol8vyPk6nU3Yioz/J3cg3NjZw9OhRnD17VnCFdrsti6RYFTsajSKRSGBxcREjIyN49tlnJSTYbDZFK546dQperxfnz5/HwYMHkU6nkU6nBQ8hMFcqlSSZi9mlTLOPxWJi4hMHMU0T3d3dknhGjapRfjIc+9/d3S3mfiwWE3AykUjg5Zdfxvr6Ov7kT/4Ejz76KC5evIjV1VVxjxKJhKwu9Xg88kz2haY3l8jTFdAKgoyrC900Gg0EAgGJIBjGVlV0r9eLfD4vdTM477yOjFyv13HhwgWZf51QBXTuar4TPWlBpHMwtKXGxjApCynZrzVNU4r6Tk9P44EHHrgmcnc97YZyQ3SuRDweF23E3Z/IxDSxdR4DLQ+WtMvn88LQNAOZYwFso9u0FHQ+gW4a5NwpuqK1ApeWs3/VahXlchnhcFgiEqlUSrRxKBSSCEU0GsXExARqtRp2796NRqOBoaEhqSHq8/nEsrAsC8lkUlaNzs/Pi5++sLAgESSO28DAAFZWVrBr1y6cOHFCtL/T6ZSUbyZnDQ4OotVqSbo0LS67TwxsFyMmfsGxpOZnajkZlcAoBSctMFaqpoD+gz/4AwBb2vfy5csS2WCeBBlPZ5kCWxEdlh0g3qXrnrpcLnHzACCfz0u5wkQigc3NTVn63t/fL9sxRqNRmW+6vVQUTz311DWRDh1p024w34nncHy1xcBx5bl6+QG/6zR05lSwallfXx++9KUv4VOf+tQ1fGYYxn8ON2Sn0BCBJDKUvXwZBYU9y437bACdVawo9SlweD0TlyiAeA4bj2uEnvgEXRHmS7AKNTUa38Xn8wEA+vr6ZM/OQqGAQCAAt9uNcDgsKz1PnDiBqakpnDhxAqFQCFeuXEGpVMJDDz2EoaEhIfKJiQm88sorKJfLQrgTExPY2NiQjX+CwSDuu+8+mKaJc+fOYWpqSvIJuru7USqVxDXKZrMIh8NwOp0CFNKfLxQK4r5QYFBAMnRMS40WnT0vxuVyoVwuIxqNSvkAzivnNBgM4rvf/a5YMQMDA/jYxz6Gf/mXf4HL5UJ/f7+Eg+kikSaKxaLs2UJLkffm+dzCgdZEqVSS0DVDzq1WC7lcDvF4XKwMNgLgpVIJzz77rLixWsnsRM86o1MnZrFqFwF5YLvGBp9HvEbfh5+pdFwuFz7xiU/g61//uqz30c//MNoNY1mwujcHZ3x8XPxxDRrqRj+O8XIu4S4UCiiVSmJJcDIdjs6t7Gmp6HAUfT+ep2PkxCnseRfa1HM4HJJvQYHEzEhqx76+PtRqNQHquHEPk4qYl/GZz3wGV69exdjYGEZHRyWNvVQq4fjx43j00UfRarUwPz8Pt7HttWwAACAASURBVNste5eura0hm83i2LFjkm05MDCAZDIp75VOpxEOh6USeD6flxAtU6W50lTvkcLamBrs4zlkBJYENIytIr7Ek8jUrN6lCZnuGaNePp8Pg4ODGB0dRbFYxNe+9jV8+9vfRi6XQywWQ1dXF5LJpCym43wCkGpYxGy494plWVLHlIVy8vm87InL6EqpVEK73cbg4KBEj0KhkNBmuVzG8ePHpe8aKNd4BRtdJntyFEFWnc9DAaddbD6D64v0Fps9PT3w+Xz40z/9U8RisfdMwPrILQvDMP4HgM8C2LAs68A7x3bcz9TYGqH/C8CjAMoAvmxZ1psf4BlCjDR5NaqrY8ckCEpiw9gqSMu4ONCZCafBJb1+xH5/oHOfTB7X6dzUjnpD3Z2yN/P5vBR/ofCgRmYeAOP8xDdarZbU3uSuYbQ0zpw5g7m5OVQqFSwvL6PVauHee+/F6uqqRBDuvfdevPnmm1hYWMBnP/tZzMzM4Pz58/D7/bj77rvhdDoFo/D5fPD7/eju7sbq6qokjrHoLWt5su/9/f3X+NDcvpBp4xR6ACT5iSY23RJaXIaxtSOcjmrQStM5B7lcDvPz88hms/j+97+P+++/H4lEAmfOnEGhUMDU1BTm5+dFWLB4TT6fRyQSkTkiY9GaKZVKKJfLiMViACAJdeFwWJbU063iZ9YgyWazOHXqlFguGuvS48PG75pOeB3HjTiDdql1CrcGVIkrjY+Pw+v14tChQ3jiiSfej8U+lPZB3JB/APB/A/gndezd9jN9BMDud/7uAvA37/x/30Ym1MyrwUkOts5Uo1/OOgYkTibf6OuB7fi1XleiUX9740TRDdJ90vgG8Y5ms4nNzU0cOXJEzPtyuYze3l4sLy+L5uaiomZzazdzahOu6ZicnMRjjz2Gf/qnf8Ljjz+ORCKB1dVVrK+vY2BgAH19fbAsC6FQCN/97nfR09ODJ598EkeOHIHD4cDTTz8Np3Nr28Cenh4RUlNTUxLtiEQigqSHw2GpB8ENkwjs0bqiVURAlO4H54zvAEBwAj1fnD/u4cF54zOoMS3Lks2Yi8UiEomEbD9w+vRpyUTlymLDMITBWamKeSk+nw+lUgk9PT2yiIwmP60hPjscDovQ6evrw/r6uuR3UNil02m89dZbQq9UInZcgrSj/3MstPur8yPY6FbtRJME8vv6+nD//ffj/vvvx8DAQEdE5aNsH8gNMQxjHMBPlGUxgx02EjIM4+/e+fw/7ee91/17e3ut3/qt3xIzy+fzYXx8HKa5tWUdTeN0Oo1IJAK3242RkRFkMlubszudTkxNTWFzcxOGsbWBD3ffokDQO6fby87xPI3k68xOEgOBUFo5vLcGAg3DEFCPz2GiD9eqcCEZBQbzFrxeL6anpzE3N4dCoYB77rlHlq1zRWlXVxfy+TwajQZCoRA2NzdRLBZx5513YmZmBpFIBKFQCJFIBENDQ7jjjjsE+KIbRu00OzuLrq4uATiDwSCy2SzS6bQkwzGqQTeQuR58PwK3HCcmu1FYMuNTL+jjIrRardaRJs3Myp6eHqnFwcSqYDCIYDAogB5DhNx1rt1uy0ZKHo9HgEvOjcPhEDwCgHznuhJajsRKCKZyI+xQKITV1VVsbGwIzWjXQofhd8ql0IICgKRp08rYaSEYGzEkn8+HvXv34gtf+AKOHDmyo5B6r/brAjjfbT/TIQBL6rzld45dIywMtX0hiYAZkJlMRkBK7qDN1YMEpDSCrpcvW5YlgoH/gc7aAFoosLFMvOqfaFIdRuXksvG+xCHouwPbWoX5IdRGOmVYrwrdt2+f7B+ye/dunD59GpFIRBiXpj6vIZPv2rUL8/PzUp+Tcfe9e/fC4diqjL1r1y4sLi7KcnYCfNS2BAZZOco0TVlKTyCt0WhIcRtaTXQ5aLKzlCE1JAU0XRQKVe2v0/0gozIqoVfosu4mgWSmqvPZ9lC3rq+pFYQWCMSodEo1mZx5GhQoBIQ3NjausQbeLT9CuyZ2xt4J0Cc9UFBwHniv0dFRTE1N4dChQ7+0oPgw2nVHQyzr3fczfZ/r/h7A3wNAPB63dPiJaDYlsY6IMA6uJ63dbuPChQviMpDwSMg6Y4+mI+8LbBe10fiEnghOmp5YfmaUg6X4ufkvfXNqT5rPNJc1IzqdTvT19eHNN98UU/Py5cvw+XxYW1uDx+NBMBiU4jEOhwP9/f2yy9jGxoZsDOTz+TqqchuGgYGBAdTrdfT29op14/f7cfDgQekfx2loaEhWdHJ8KJiJTxAb8Pv9Yl1QG9LSooVFQNjlcgnYSQtDj6UOz/p8vo68FS6IY/ZlX18fMpkMAoGAuB7MiwAgeAmVBV0mWm9MazcMA6lUCvF4XIBqMmoqlcLExASWlpawsbEhGbjAdvkCNg2iazBeCwsdZqcAZeiZwoZj1mw2BWdxOp0Ih8O45ZZb8Pjjj0uG6a8jMPGrCouEYRgDyg2hbbYCYESdN/zOsfdsdB3YtL/HgSe4SALg+TpPgjF7AOL3Atv4gsZEpqamrgGdaH7yGl6nU3x1vgXj9VysRRCMlafT6TQcDgeWl5dlbQKxFNM0RQAQ7CRST3+bLgCTh26//Xa43W68/PLLOHHihGQzOp1OKWgbjUbR09Mj4UDLsjA2NiYMT/8e2LLo+F+bxLTSCGKSwTjG1MDEKZjhyTEmWs9CwBQOZDKGKP1+vzAFLSpmWFJwkykozFqtrSI2XBzG82kdsVgO6YL7hzCZiZmlvIZCjMe4RwvfmcxcKBTgcrnEitPWhQbnNfDNuSG9ttttwWUYfuY78BoAEgp1uVyYmppCb28vvvrVr8o8abr+j7QuflVh8W77mf4IwH81DONfsQVs5t4PrwAg4ULG5XXcWlcrdrvdUjiF5qKuTKRDpIytay2m8yz6+vqQSCTEhKVG5ATozE5gO0pD/11bPexzOByWEF0ulxM/nUzFbEea8VzdSf85FAoJ8GdZFqLRqGAIhmHgzJkzkmbNtHZWwGbykGmasu1gs9nEgQMHJOxGDaizCk3TFBeEgjgej8tCNloRdNM4rjpqpXf70hv7NJtbhWhYQZxaU++/quuCareyXq935G3QpWBjGUEAIlgbjYZ8pgDjZlMUTBqsdTqdUiSJrlMul5NtELklwvr6uiTZ0ZLUzE66owWq13cAndE+Oz5hFxTsY1dXF2699Vb8zu/8Dnbt2vWubsx/ZPsgodP/CeAhAD2GYSwD+D+wJSS+ZxjG7+Gd/UzfOf1n2AqbzmIrdPq/fpBOuN1u9PX1iSYjTkANQfSb2p6ZetRkrEep/WdaAyQ2DSgyq5FL3ylECGpSQPBae+iVGAOjLwAkqYeJS/TRaYZrBqKPznelxUN0PpPJiLaluUvTWmf80WzVq3Onp6clGSscDqO3t1e0OtBZT4FChBYc35MaXoO0fL5eoUph4fF4BFNqNpsi0Ik5BAIBERRMnKIrpIFAjomeC405ULBxg2cC3OxfKBRCo9EQUJTMTIFHyyMQCEgeDi0+ZpOa5laWLCM+dHH4PhQ6OpPTntug6Un/5vP5OnJ6eA5db1o/w8PDOHLkCL70pS+JAvt1YBT29r7CwrKs//IuP12zn6m1xWXf/GU7EQgEsG/fPqysrEhRW/qXNK05aUSVKekJ8mk3Q/uMxD7oWzNUFwwGRfvwXO2H6tAoBYj+rs+hFqIgYnIVsJ0WTE3NydfJYQRwCdyGQiEUCgVxqWh1MQqhr3O73eju7obT6UQoFEI4HEZ/fz9isZgsiAKuBdSAbULVeAHPZ5VwvhNxIB1JYq1Q5ihQy5IBWXxGh5b5X2t6MrVpbpXP4zEyIq9hTko4HJYye5lMRgByAALY2pPvaPlwzln6D4CUF9QV17k8oN1uo6urS4r4MBJ35coVYXKdlanzLihMSQd63kg7tJxJRwMDA3jsscfwiU984tduSdjbDZHu7fV6ceDAAbTbbQkxciCBLWSa5eKoDVm0hfiBTqQioKmZnwRPrcl8fy1Y+KdTZbWAIHEA2+FVzUDUGNSKJDgyoA698jsFn0bl7aFd5pOQ2VibgsTH/8QaaHkxIkFwVwOzfAe6VPysTWeCelzAxTmhH06fnvkZGtPQIVftjtHV1Fac1r58Di1Kzq1deGgXgO6RzoQMBoMdBWj4nyCtDmsz14L3ZD9pddXrdbEcdaSLCoa0ZgcwNU1wLLTby3d1OByIRqMIh8OYnJzEgw8+KIqPc3EjtBtCWJimKVv5Pffcc7LU2OFwoKurC4cPH8bQ0FBHyLPZbCKRSODcuXOyyQ4JMxaLIRQKiTvQbG7VWszlcvD7/YKG6+drIge214PoZ2qmIgGTMFnolqg8NU4qlerAY3QjcRGEq9frYlWQkUKhEJLJZAdSz+rczCegCT4xMSHpvzr/QzctDPX7872IDdAM11mE1Ph6nQP7rQUAMSNGIQgEU8NznQndLmpZWjMsqkOXQlsoXM9BABIAFhcX4ff7EYvFEA6HZQUpmZsMS1BaV+3SiVUUPJomKCi5gTXzW7T7pLev4DEKAQpd5oZwnOl2MHLV39+Pu+66Cw8++OB7pmz/OtsN1Su3241HHnkEr732Gi5duoRYLIbPfvazHUlB1I4ulwtDQ0MolUrY3NwUyyEcDqOvrw979+5FNBqV67LZLN58801cvXpViqVwKbPWgGz2mqDazSGOod2TcDgshE13gis79W5gzCXh86LRqFgffr9fai4wOU27NARmge1tB1j16vbbb0coFMLk5CTq9bqkMutQJhuFnW4614ACldcC2/u5NJtNsVzYJ2pIRhj0oiimjJNpLMuSSAaBXmr7YrEoi9f4jjpfgmNCBUCXgkBlKBQSoNIwjA7hQ0HMNG/uyxKNRrG+vo6enh5xRcjslUqlwy1hnk84HBYXmVYWrQD2m33Q9KT/c/5GRkZw//334zd+4zc63MEbsd1QwoLEdOutt+LChQvIZrN48cUXcc899wC41hwzDAO7d+/GzMwMMpkM/H4/Hn300Q4AkOfFYjF8/OMfx+LiIorFohAmzWmdrAN0btBCoJX3o2CiwNGWBgFLbhPYaDRksRPvQ7PX5XLJknO32y3hRF1sWLsndGsYdmX0hUKCuElvb6/gKCRaCk3tYunPfDdqQ0YVGFEAIIxEl4zgLbCdZcjxCwaDshRfj6HT6ZTkMW50lE6nZWtCCl6uhKUGpnVAYUYMh0LdNE2pqBYKhTqyO7kwjn/5fF4Yk/1lZIoCj/gIN19ut9sC3NbrdQwMDGBtba0jQ1ODlBTGdF31OhJgCxPav38/nnjiCYyNjcn1v478iQ/abigxVq1WcerUKfzkJz9BpVJBOp3GxsYGlpeXO3x9YDtzst1uo7e3V1Zxnj9/vsN10M2yLHzhC1+A3+/H66+/LqXq/X6/mO7UEjqXQ699YHEbagYWiwG2mZnJO7y3XgwHQBKjtFnKWpLUmjrPAdhG1nUYORAIIBgMoq+vTzSmrhFhtyo0LsPv/F3jAXTJaDqT4LnFAEFkRjnYN+aJ8DuzRNkPjf8wlMq1KXR5yFgAJC1d52nQHaQA0clQjKIR8Gb1dWIRtAw5P9Y76ess9EOhw4hUs9nExsaGuLU63M2d2yiAtGWhMQnSFN8nGo2iv78fDzzwAL71rW9hdHQUwDaucqPgEzu1G8KyaLfbIhjS6bTUdPR4PEgkEpiZmRF/lI1m/JkzZzAzM4N8Pg/LsrC8vIyenh4MDg7uOPDtdhvj4+NYWloSDc5sS048CZCaQKedU/vohWV9fX3/H3tvGmTXWZ0LP/sMPZ156HmSutWDJGtGkm3ZxpYwNsbENjbYDF9iAjGOuTi48uMzFClugBuSlLk3H6ESHEKKzykofCuEACksWzZYloVlJGtWt6ae1N3q7jP0mfqcHs7ps78fR8/qtY/kSRJckfreqq7uPsPe736H9a71rGetJZmkdMQlAUxqEfx/cXERbrdbbG5uWB23oHECXo8bnUKDCH9XV5fEDjgcDkQiERSLpZyewKXJO9q7w3vyMzxttbagNY9cLifYBAWDJpsx0a221+n2paAEIO5u7Zkg94L9IF2d80STjcKJpiCFqOaG1NbWyueoMXBOdUUzapUajwIg3jdqJtQkz507JwFm/CyTz3Cc9HxTcASDQaxevRpdXV344Ac/aEnG9PvQrglhQUZfoVAq8rt8+XJZBBzQ4eFhLF++XNR+MvmGhoYwPT0t6jnjSlpaWiz34PVOnDghC532pk55DyylhNN+fg18svE0oe8+n89LRmzmR3C73ZbUb1StyXA0DMPCdOT93iwqlptaE4F4PV5DMwTLPSC68Zk0FsR7cKNqXIZeAj2m/D5PVwoW9k+bcHxPs2S12cPxo+bAMHn2hfPCZ9OMSGAp+xnnUo8778d6KnxOABfhL7w22Z7RaFRo8Jq1ymfRZp6+l/Y0VVVVoaOjAzt27EBPT4/FJPl9adeEsCARpaGhQTJZ09/OilHMaM2JKRZLUYbBYBChUEgWLgOshoeHJYktUFL9T506heHhYczOzmLz5s3CZSDHgTEObNwoxBPoC89kMhLVyI1N1dTr9SIcDiOVSmFkZATT09OiMjMvAolkmrjEjcQNS9OGmkR5LAJNB+InfN1utwsIWr6QAatppnEZjcnwmXRMDDer0+kUmjgp0DQJtduY19RpAqhtadYj3+emptmiCXDUCpiRiwcD54hCggxUEr906UKCtqZpisu3srISsVhMNr9mAzOGh6YND4ZUKiWva5BTu0G5ZgBI0hxyJ3w+30Va3e9LuyaEBRsn1uPxiC3HxkzOZEByY2sasObiZzIZsSu5+O12O1asWIG5uTnRZDRgxtOZGg1PKQCiKdAWZkJezTsgVjA8PCyko5qaGqGV89pE9nl9nr76xOXvckGhXco0hwzDsLgnNTtQCwAtKC7Ft9BaFL/rdJYyXOuK8DSlyK9g01GmWoAYhiEqPGM5iMfoWisU2FTneZKTXk4AlC5Nmo2kTBPvoTZCM0W7OSnYKYQCgYCsFe11o5ZEzXZychIul0vuNzExIQmOuC60BkbsZvny5fj4xz8uhZfLx/73qV1TwuJSTfulw+HwRer6pQZesze5WLiQ6AmhH54p8Hjq6bwL3KQ8uYh260pn2kZn8FggEBDNgPRvakkA5HTVpwsFjlb1tbuY79G+5oZtaGiQjcvFDCylbCtvHC+tSbBptiGfmaYOBaSmwFNY83patSYGQBOLuIFpmgIwLiwsIJPJSJlCm82G1tZWZLNZoZNz3EmyoqZFDYPzrV8j2M15oRZB7wjNE3I+dOEkDT6TKRoMBmVceRAZRikojyn4KLBo3ra1teFDH/oQ3vOe91iA49/nds0IizcbSL5OjILAJFO+9/T0oLa2Vj5fbodrDweAi+pA8FTjD4XIzMyMhITTjccAL2oe1ExaW1sxPj4u6epM04TX68Xx48fFK6FRe2pAOl4FWMqSREFEchJPa00HdzhK+RcZoUjNiCfvpVxw+rnLuRflTWMBBJupTfEZyjENCjC6W7npyDwl6EeSFVAyQZnMR7td+UysfQpYa23QlNHsSQ0+c84cjqW8ngAsmeI14EkTRmMc7Mv09DQaGhrEVKE7lh4SCn1qk9u3b8cnPvEJmfO3Wt+/T+2aERZv10hgaW1tffsPv0W7FFdDv8aF4vV60dTUdMlrEG/QGataWlpw+vRpWbyhUAiBQADZbBahUAi5XE7C0Om50ffkiQ0sAYcUHtrup6uReR6YTJZMSarm2gS5VOMifjPTpHyMyLCkINXaHTecdhPyubTgoIDUIe0UrkwpQOFDtzSjUVOplCWWR+fSoGlDsBeAheTF52QQGlMF1NfXC5ahgVOaRkBJQyK2pUMJamtrUSgUpGyi3W6Hx+PBY489htWrV1uA3KvZyrkyeo5+29rL742weKftdyHBKysrJSGN3jC9vb2Ix+OyAOvq6sSlqlF49lOfzFTtta1Pc4SChKg6T3AKJm4YABKm/U7bpVyq5e/rhU9BptmuepGWm1ZaBWf/ddAdNRTa+mw0t6gt0P1KRig1C/7oE1yDn9TOqPHovlEzpODTje5u9lmzeYElDghTCgDAzTffjK6urt/qpqWw4HiWe7Le7DtXo/2XExa/y1Z+Kmty18LCAtra2lAsFjE8PIxgMIh4PC72tfYMcML5N1ViChEAEgfidDqFT8GYE51jQUdbXk57Mz4GNzXxA12omnwJ7aHR16MLl2ZBNBoVwhT7zWdYWFhANpuFaZpygjPZTLnrlJudTFL2QfM+ZmdnBT+hVkDPljZDKKxpNhIfmpubQ21tLWKxmJiRgUAAU1NTCAQC4ua/9dZbcccdd1xyDK9W01oF8bWxsTF0dnb+TjCR/19YXEG7lAnDyXQ4HOjs7MTp06cRDAYFRNO8A2Zp0q5Vnoo6SxTvRdxlYWFBUt1zE3GxeL1ei0fiShdQuTeFvBRuWi3kNOjMfjFmRl+vpaXFUn+FiYE4HgQmaYIxXoTeCWobGgtiMBuFCAP5gCVAmcWNdJAasRMKeAoRzlNVVRVmZmYkNSHdxsRo1q1bhxUrVmDDhg2/dY2CzWazYd++fRgZGUEmk0FLS4usjUsdFFerT9eMs1e7FrUE1W7Dcvcjf/Tndbta6te7aVptD4VC6OrqwubNm0Wl5qYn21NjCzr+AVgq/qyFAmMVXC6XuG2pntNlpzf41XgW/aNteW5IVm2n8CBmwmdgmj16k+hpYqJl9tvlcqG2ttYSzzI+Pi6nudvttrhrOXZMAMQx5Hts1IoomDWxjViGNgm1KUNtiFjH5OSkuORXrVqFD3/4w9i4caN857chLDTpjNcPh8OIRqOSNwQARkdHLXuCf5NucKXtmtAsMpkMdu/ebcnHQBucdSaoynIhkUr7Tibn/5Tbyu12Y8uWLQCAoaEhqR9CFZenp2EYFjegnlwd7cnv0dUIQNLr0Wz5XTwnhSFJZY2NjSKwAGvGMXpAqJFQCGih4fV6LcFyxIJyuRza2tpEC6ivrxcThfRxzXSl14t4A4FY9pnYDiuv6zXEvzkvHHOyOLkOOQ8NDQ246aabfqcHEsfY6SzlAv3IRz4iZR2LxSJ2796NP/zDP7QctIxn+S8jLPL5vBTY0e42Df4xB4VmCtbU1Eih2+XLl0uxIZ4c2sNAm/V3yZwzDEM287333otYLIYvf/nLFnox+8jFTK2CrzG4ilmaAAhvo7q6Gl6vFzabTWqKvJ0X5Go+mx5PzcYsp00DVmq3xhkI1lJ4MAkxn49h4VwTFFIsB6nJUHpMtfCamZmRiNGamhoLm5ZmD5P58lpagBCcdjgcEt7u8/mwfv16ma+rMebUkMvXKIXjnj17cPvttwMAotEoDh48KHjP9PQ09u3bB6/XK1oYtYt8Pi/h+lfSLrd84X8H8CcAohc+9iXTNH9x4b0vAvg0gEUAj5um+fzb3YOoNSeIahVtUG3fcgBMs5RxOZfLIRwOo6+vD06n05IOn3EkJMr8LtxL5c9FYfDqq69i7dq1cgqSIVqOxJdTtwFY3KfFYlEEh/Ym8Pl0+23b0FTpdUyN/l3uPtQxHXSnEiugWcMNQ8xAV5rj6UgXKElTHD+tqWnmq+4P7629CGRzaiYwX+drNJs0g1SPBa9/pY2uZX3tYrGIeDxuGcvh4WEcPHhQMn5PTU2hUCjgwIEDaGxsRGNjo+AYHo/nTWkA76ZdbvlCAPhfpmk+pV8wDGMVgIcArAbQBOBFwzC6TdNcxFs0qpy00UnJ1ScVsJTRCYAQmioqKhCJRGTzZDIZmVRqIFSBubHoWdCBZLSnqZaW+8i1u0r//2YLpFgsIhaL4ciRI/D7/Th16hT6+/stnAnak9xwFB6ar8D7UKuora0V4I2RjsBSqvyy+bioX5fiVVxqsZfjQBoHIcuRm49gpy69Rw2Qaj1NK3IrOK+FQikDOJP4GoYh9T/o+QGWEh/bbKW8FW63WyjYZHtyA3MsNehK7WJhYUGo5jRraS5pTY/fIy5DQNXr9UqdWD02VyIo9DhPTU2htbX1ouu9/vrrmJqags/nw8aNG9Hf349oNCoMXpLFenp60NXVJYTC9vZ21NXVWYTb5bZ3krD3FaNUvvCdtHsA/Mg0zXkAQ4ZhnAWwBcBrb3MPsS+5SfTE81TRp7DT6RQblCc13W7a9cUTgoQlsv6optITQSGhTyUuVMMwJCCI9Th4He0B4QSzz/v27cPk5CSAktqYSqVkE/E75XgDY0W40AFIXgiv1yuvU3taXFyUUGw9nro/ul1K+3ir/8vf08xNbiiOQbkKT9OjXPthX+nStNvtUliIczQ/P4/x8XGk02kEAgHkcjnBK3w+H3K5HKqqqqSqvGmawqPQAW380QloWOWNNj3NPNLRNWGNa47MXqfTiXA4jLq6OouL+EqaFtoUFuVzSK7Ozp078fOf/1yYqA888ADy+Ty+973vYd26dXjwwQfFa0Sy2cDAgKV0wuW2K8Es/pthGH8I4ACAPzdNM4FSqcJ96jMsX3hRM1T5QrLsCOZpRJq8A55gWnWlwNA+cR1jQVuPORnLtQF6GfRkcSFrVxQ3hbbPi8Uiurq6MDg4KDY3hdbGjRtx5swZjI6OYnR0FIZhSB1WAJZ8nHyNqjC9G+wfhR03Gk9wYhw+n08WBVCqp0Fbn30FIKcPcHHcSLk5xM2u5sridSK4qL0H7K+OqdHXpMaoKds6IpjPRs8DBUgmk0EqlUIsFpP6KUzVz/Fin7T5qjVAgsYUdszhGY1GUVdXZ4k21doI1xDdpWxzc3OIx+OSafxqNcMwcODAAaxdu1YEEcdv48aNOH78uNSazefzuOGGG+B2u7F371783d/9nfSbKR+A0iHlcDhQV1d3xf27XGHxjwC+BsC88PubAP743VzAVOULW1paTE60Jp1wM5cnnaXaS7eW9rcTIedCJfJN7wqw5CPn4OrTJaLfRAAAIABJREFUUquj5YtHx1309PTglVdeEYGmN9PIyAiCwSAmJycl5J4bhRGXtMv5GiMrid3wutorRG2CNUrJd6isrMTs7KwUN6bazYjcXC4ndGmepvl8qYAOUX7AmqSYz8kx4ZzoE1xvSGp+gLUkoTYHNAjKgDzTNIXxqhmWMzMzmJycxPj4OFKplGgC2WwWqVRKNj+Dzohv6XWkDwYeNmyMbqV5wTlnWDvXGQUGtUzTNAVYvVrgpjZxV6xYIX3Th1N9fT0CgYBgXV/60pcQCoWQzWaxZcsWWcd8Dp/Ph0QiIZ6m34kZ8iYPN8W/DcP4LoD/vPDvZZUv5CLUvAIAsnnKq1HxJNEsPC1ctCuNaihPQi5aJp7RPzx1iMzroC+2QqGA9vZ27N27V05Snvo84f1+P+rq6pBMJiVfRm1trUh5biQ+A213jejrVPDMh0nchabT9PQ0PB6PgFyhUAjz8/MYHh4WLIfa19DQEM6cOSPRlH6/H36/H5WVlQgEAnKSU4thjgee4OU8hPL5IOnMbrcjGo2KF0hTrzVwSYFN4ZNOp2Vs4vE44vE4YrEYBgYGMDIygnQ6LZ9nioFwOCyuRL2WaDZQ6LKv9IbQ3FBrGABQV1eHaDRqyU/CWBTOA71TFL5XG0COx+M4d+4cVq1aZTFFTNPEpz71KWGk8nlYuFmbcHptOZ2lmjQHDx684r5dlrAwLtQ5vfDvfQCOX/j7ZwB+aBjG/0QJ4OwC8Jt3cD0LeKibRtvLNzc3a3keBU4gYxCoEWhSi9YGuEjLSV4ceA3k1dXVYWRkxIIv6AniYp+ZmRF3FUOxNZAJWOuM8Pl0o2Ao36B0N1ZUVMDn80nOieHhYVHjo9EoisUi9uzZI1oKyyGMjo4il8uhp6cHnZ2dKBZLpReJw3BDlcdksK8U0NTOFheXqouxRIEGaPmsnE++R42Rgp4lAkZHRzE2NoZisYhIJCLAJFAyoTKZjBR+JiuWP8QeiDtx3insNP7Fv7WLtTxRsWma8kwU0sRXrrabmiaPJiKWN/avWCwilUqJGaVjd7gmKyoqMD4+DtM00dXVdcX9u9zyhbcahrEeJTNkGMBnAcA0zROGYfxvAH0ACgA+93aekAvfkwmlqsjf2lyg9mG3l5K/JJNJ5HI5AEv5EoElLIJ/83oUBtQUtJahgSyCYbzXzMwM6uvrUSwWJVsXAIt9TeHBhRaLxdDT04OdO3eKYCMSrzEAXd/CMjEXiGj00pSX0mMgGzGOWCwmRZgYGTowMAC/34+JiQmp9kZcxWaz4dixYzh+/DiWLVuG9vZ2Ifsw/wO1DJbd06ArNbULa0QWaTqdthQ10gWGgCWiEJMXcbwikQj6+/vF0zE8PCyu8enpabS2tgoTlN8hk3VhYUFOXI7bzMyMzDfnhzlNwuGwFKTms9rtdkxNTclmJY7DSFbN5ygUClixYsVvxS3d3t6O8fFxrFmzxgKEczyBJVZpKBSSw46f06bR4uIiXnzxRTz88MP427/92yvu2+WWL/zeW3z+fwD4H++mE+VItt702taiMMnn86itrZVcB3xNn3oVFRXo6urC8PCwhCszHJrhzHrxaw2Fp7BhGBJmfv78eQt2UiwWLVW2tRfDNEu5PteuXYvGxkaMjo4ikUggHA5L2T0AFhKWHgsuCk2T5uYloSgej6OrqwuRSASdnZ2Sb4IZtlkM+NChQ+LZcTgc8Hq9cDpLdVUjkQhcLhcWFxfR39+P+vp6JBIJVFZWoqOjA6FQyHJK0Ty5FA6hNTXyIigo+DwcY6rPxGcmJiYQiUTktJ+YmJBqYqZZqgJfW1sLwzDE+8UyjYODg/B4PJibm0MkEkEymZRxpbBiXk8AErGqORhzc3Po6OgQAJX3YerEcjDa4XAIxftqNK3t1tbWYv/+/TLGFFB6XWj8jYeq7pveJ4ODg8jlcvjKV76Cp556ClfSrgkGJ2BlM3KAuFC1dkBJyuK2esK4OAnqdXV1oa+vTxYy7U+ertruttlskhiH6ng8HsfY2JglKIlNJ1Zhv6mlMOrx5MmTloI0rAvCflMwaXuedif7xkhWbtTp6Wmhw0ejUbm+3+8X/gPT+LlcLmzdulVAwMHBQQBLZRMXFxclJ8TCwgKmpqZgGAa6u7uF7FQsFtHU1CQqvd1uFzyCHilqHeUeCAo3bXpls1mhIHNjJxIJGfdYLAaPxyN5P/x+P5qbm+FwONDS0oJsNovrr79eNMT6+nrJdVpTU4NYLIaJiQlks1lhA2vQk7kvWDGdgDC1tGw2KzlXjQuckmXLliEUCsHr9QqecOONN161tU+ha7eX8qfG43HZD2/X3sw9bhiGVH03DONdpS14s3ZNCAtN4AEgp6f2hvBE03kdaIcCS/VB9UlNVUyrzsCS0KFqSteqdsNqjICmAvvKfumTlUg0AKkixgXc2dmJ119/3YJY0yVKjYgCknY0TRDS2qkqp1IphMNh1NfXi9+f6nWxWMTU1JRsQnIziIxTwHLz+P1+2VQ1NTXwer2YnZ3FyMiIpDD0eDw4ceIEmpubpZIY1XMKSar5uvwBx1gLfFYuT6fTosEQJHQ6nYhEIgiFQlJwefny5WhqahKtk8l+gCWNoKamBnV1dVLUyOfzCZicTCalcDY3HzUL4g80WzKZDJqbm3H27FnMz8/D5XLJ2E9PTyOXy6G5uRmdnZ146KGHrsrm0+tUt7GxMTGHuebKP6uxIK0h65bNZrFs2TK0tLRcEg98t+2aEBZU+7Xays0DWOMO+L/epPqzdJ16PB6k02nZ6DyxKZQ08UabF+VuWi54/T/dVxo01eAoW21tLWpra3Hs2DFZzKFQSNB4bQJx4bKvhmEgGAxa2KXRaFReS6fT6OnpkZJ9p0+flsXFamU0N0gkYlnDWCyG2dlZ1NbWimCje40AJwVZIpFAQ0ODcCvYX8CaaIZzwPFnoynF3JicMxLN5ubm4PP5pNBQJpOR0osMHKPHh0KagpFmQl1dnWQfGx8fF7A2Ho9L0mTWomXj4VIoFISwFw6HMTQ0JHNK8zgUCsHtdmNiYgI7duzAsmXL3t0Cf5ctk8lIvtBL0fiBi7NkaSHCn3PnzuFTn/oUALwjLeXt2jUhLABcJBn1icT6lbSFgSWqMDcahQfNADI6KSC0lqABRl5LBz2xPxx0jezzMzyptP2uf3NRj46OSokDJqrROAdVe76m3bV6QWi/PuMYaCoQiCSNmWHhRP21cNSkNeaMZAUvagzUWAAI8s9CxAxi096FS3kGdKCYNvnIESHXI5/PIxgMSur+6upqifK02WxywmtNTxPuaAYxdJ2p9nUGclK6DcOwrB+C0jRba2trUVVVhWQyKWuOYzE3Nwe/34/u7m6LkLwarXzjMwNX+Xtcg28mPLieOS8nTpzAxo0bUSwWBQO6knbNCAvtE9cbRYOBwFK6s0wmIyy1cqZgPp8XFVvnU+R7+vO6+lW5BgHgIm8LFxvNFXpqtHABSjk86aGYmJiAx+NBJBJBPB5He3s7pqamLIQg4hpa66ipqZE0emRuVlZWoq2tTeqZ0qOiS+npiF29Oai1MRkPn592LYWrxhvofeFzzc3NyWbXPABuPApqujt1nQ9uAsbnEIimZlNfXy+CjK7hcoHPseHG19pKJpMRgZfNZtHW1oaxsTGLcKOg1UJdM2ZtNpulkn0wGBSi1m233YYtW7ZcVUGhGwVBb2+vhUJfvhfKv6PnoFgs4oUXXsC//Mu/YNu2bZicnMSyZcssXJTLbdeEsOBgaBNE/68py8BS1KE+tbj5ubAWFhYkGYjmQvCE5gJmWDLvQ1tb90ubKtwQ/A5NEa0pAMD4eImLNjs7i23btuHYsWPweDzC8S8UCggEAojH49JfLl5mEufC1Wn0WltbBZRjn8gt0HRqbhA+EzUH9o+Yhl6MPKWJvXDTMkCMG46YivZ8aC4MN7kufUhXKTUgYhWakMa6IJx7LSgAWASfFuwcu4qKCtTW1koRqPr6eiH2MeU/P6+fzzRLEcwAxOSjp4vrIhAIoKenR3JyXA0MoLxxHoaGhhCLxVBXV2fZ5JcSGlrLoHC5/fbbEYlE0N7ejr/+67/G008/jYmJCVxpuyaEBTeaJk9R1QSWNAcuFofDgXg8fpE3g78XFxcRDAYlcIsTzuto3oZ2i9G1p/tF5Jx8CvaV1yDizk1XLBZlE5NXsWvXLjidThEOfr9fak5wY+nYBT4H3aDkGJhmibRD04Equ94sFRUVwsik14FClYLVZrOJXV9uxnGcKRjYL8MwhN3KfjKwDlgSPhp0pgDRkbUAJJsX3eIEG6lVEPfQbkPNxqXGpJPVFAoF8SRw4xPPIJOVwC55IKZpwu/3S1xJQ0MDmpubkUgkxKOVzWbR3t6Oxx9/HNu3b5fN+dvgWLBt3boVs7OzmJ2dtRTZZrvUvbkeWSHeNE38+te/xqFDh/DEE0+gsbHxivt1TQgLYCloiic3Gzeg3uws5sNGlVUTryoqKjAxMWERDLyG9rpoAaK9G2yaFAYsUZvZuOEo2PgeX+cztbS0IJPJoLe3F2fOnBE3J/kRFAA8NRlGz0QrVON5D/JLWA/U5XIJEMiFpjc6bWGtzpdzQ/g5Tabi53TQnUbgqVno01bjOdpbooE4HUzH8SJrUn9OU+DZTz1/2iPkcDjg8/lEy+I9WltbEY1GpSCQ3vDJZBLhcBjz8/NIJpPw+/2oqKjAyZMnhbdSVVWF2267TZ7lt91M05ScpPz/UtgFG8d+//796O/vRyQSwYkTJ7Bu3TrcfPPN+MxnPoOOjg586UtfuqJ+XTPCopxCzMHRC48Lgp4OfSpqVB4oeSLIK9BaBAe+nHatTQ/tPuWmBJZAWJoxfJ+5Gnj6UeMASt6VlStX4uzZs5ibm8NHPvIRIYpxU/CZuflmZmYkveDWrVtFgKVSKQQCAdlYOjalUChgenoaw8PD8Pl8CAQCkmQ2lUoJY1Hnr6RQ1p4kDfwuLi6KFsXvaIHOTUtNgNmnKFgInGrSFrUtrWloLZJxMewHtRm6PDk/dN3S7VlVVSXCgSAqhb/H40FDQ4O4ialVER+ihkeyWKFQkKxrLpdLsJTfpjahWyAQwMTEBPr7+3H99dfL2l9YWIDH47F8lgJ0cnISzzzzDA4dOiQRqZ///Odhs9kQiUTetELdu2nXhLDQG0aruHydG1yDbrrRk6GlLU9anuAa1KTmUb4ZgCVcRNN7NS9D2+aaa8Gm+0DNgqQo8kOApRB4m82GTCYjAoj3r6mpQXNzs4QWx2Ix+Hw+Sx4OLn5u+mQyia6uLnR1dcm40QOzuLgoOUMITpbb3cxfSbVfk5m4UbX3hxpdoVCwaAQMKisns2lNp3zMeU0NzvI1lptkHwmQEu/QQprmDLUMRqu2t7fj5MmTsuG1t4iuU16bc86yAfqE/120cDiMmpoa9Pb2yn3pTXuzkHjGBm3ZsgWbN2/GvffeKwKZGtWVtmtCWNjtdsm9CFhJU3rhFAoFqZp+4sQJAdD0qc6Nu2zZMrz00ksWmxawcjS0q7CcTclrEVPgQimPXynHWLhZqK7a7XZMTExYwMuWlhYUi0X09fWJx2ByclIECYVKY2OjhLrX1NQgl8sJvkGQl9GRZDYuX74cwJI2RROGuScZFk6vBhv7TXyDAkAHaVFA8DMul0tctwQGy4FOwzDELNBaGz+nuTI0f6h1FQqlhLmMheEcU/Cxhgk5HOl0WgQccRev1ytmm9/vRzweF7cqs4sTY2ptbUU+n0c8Hhfz0O/3i/mlhZzNZpMQAn1YUGhdiRbS0NAAu92OQCAg64ZCgnPBPnGdVVdX4yc/+YmA0el0WtZ6JpPB1NTUW93yHbVrQlgYhmGJVNT2LjcYsHSquN1uibbctm0bstksXn31VQk79/l8GBgYEEFA8I8uQL2oCejxfpwACgWe3OVkLfabHgEuZNM0LfU3ed1AICD3OXv2rAhH+vgpmFjLtLOzE6tXr0ZVVRUaGhoQi8WkMLBpmlJ3lPTpTZs2SeEerWlRzT5z5owwPSlAtebAxafdp2zEBrQ3hKHPmmlqmqYQpfi98vFkLohyngqwlE+DBwDdnARrGQJPIUTWLQBhq2rXNnN8UFPatGkT9uzZIyxYm82GbDYLv98v46qFEj00dFFr7GBxcRGxWAxtbW2ybjSecyWNqQN4Hc4P+zQxMSGlE4CSYDx+/DgWFxexbt062O12wW4mJyeFHHil7ZoRFtQS/H6/RD7S5Ua7lIIjkUhg2QUWXTQaRT6fR0tLi2xaj8eDVCqF5uZmi43O6EQNhGqEnUQhfp4L9VKmDIUOAFH5dcISveF4IrHgL0la/AxPeGosTqcTvb29aG5uFnu8oaFBci0wSIg1I+rq6pDJZPDGG28InjM9PY2pqSmk02lJ7cfTqbW1FR6PB36/X6Iu2X8Gd9GE4FhpbxHZnjTzmIRH1ywBYNGwiBFo7waFNwlcACRZkHZlj42NYffu3Th16pQIybvuugvPP/88WlpacMstt0gEst1ux0033WTJ1zE5OQm73Y5wOIwdO3bg+eefRywWQ1dXlyTeYU5N5jYNh8OYnJxEJpPBxz72Mekz+/njH/8Yb7zxBjo6OiTD/LZt295x5qxy81U3ZubSB+bg4CAaGxvx3e9+F36/H3fddZdof6Zp4rrrrrtkqEMgEIDT6fyvw7MAlk4VchF46mgUHoCwFHlS0W7XLiZuQEYqlkv7oaEhiypMAaBrSNAUITuSoctaaGishYKCwkczQnk9qsyMIG1qakIikRAXoo5NaWxshM1WCm6LRCIi9AqFgrgGC4WCqNn9/f04cuQIxsfH0dDQgPr6eni9Xuzdu1dO99HRUVRXV+PLX/4ynnzySdhsNuzYsQPXX389XC6XJS8CgUaNU+hsWBQYfG4KcpLDOA8UGNTQtGuZWpkWFNSeCoUCTp48iZdeegnpdBo33HADTp06Ja7h6elprFu3Dvl8Ho8//jiy2SxOnDiBs2fP4gc/+AH8fj8+9KEPoaamBsFgUJIQFQoFrF+/HufOncPExATC4TD8fj+8Xi86OjowMTGBfD6P6elp4VasXr1a+svfd9xxBwYHB7F27VoBYOfm5iQR0dVqhw8fRjabhdfrRWNjIx555JGLku6YpolEIiGlIDg/5OfMz8/j1KlTV9yXa0ZYUOVjCn+yEZmtyeEopWHL5XJySjHYRrs6y4O8+JvXKxaLmJiYkBB0YMnNqTED/i4Wi3JiEkuhi0/fj7gFNwI3GRc+7edisSisSL/fL8lJaDuzH93d3XC73YjFYgAgFGRiBoVCQRDysbExxGIxeL1e3HTTTQiHwzCMUhKe0dFR1NfXwzAM4Q18//vfx/LlyyVfxNGjR1EsFrF582Yhg1G1BpYEAwWkFoIcG4LGHDdt6lGboylIU4MCkIKGjNbTp08LqYj5NEZGRlBTU4P6+npkMhnU19fj8OHDIoD9fj82b96MZRfYioODg3juuefQ0tKCtrY2yQfi8/nQ3NyMlStX4vDhwxJA53a74ff7sWLFCuzbtw+nT5+Gw+HAnXfeaXH78rQvFosIh8NYt26deKfeLI7jcls2m0Vvb6+lBAFNEjYeTv/8z/+ML37xi5bv0zx59tlnsW7duivuzzUhLHj6R6NR9Pb2Cq2ZAFZFRYUlP6M2FXRQlz7VgaV4CuIBgFU1Lj8BtMtQo+t8TdvaPE3LfeBU3/WkcuOQiMTv1NTUSCAXa2qyH3V1daLax2IxC1GK/aGmQ9COwpUnTCaTEWyCoe4sD5hMJiWIink2hoeH5RQtnx9uEuJG2mtBzEm7sct5AKxxUj7umkfhdJZqnU5OTgpxzeFwSG6Jzs5O8XaMj4+jpaUFk5OToorTzW23lyqG8X8Gp3FdLSyUapauWLFC3NQNDQ1Yv3497HY7YrEYjh07BgDo7+/H3XffbVkfuVwOBw4cwH333SfPlEqlrqg2hx4vmr/V1dWWseLBU+59KxaLGBgYuOh6P/nJT+D3+/HZz372v05FMgCizjY2NqKiogLhcFh89kAJ7fX7/Ra7vbq6Wlx0PP2YMo5oMm02oCRkmLOBpzNgJb1ochKb1lZ44mpaNWBNP6/tcgoJfodqNzdzY2OjoPjM00Ebk8IwHo8jnU7LdwmKTk9PCyeAUbvxeBwtLS0wDEOQfFZsCwaDIhSYhr+3txc9PT04efIkDh06BIfDgS1btohHhI2UcgptLUAIimryFQCL9kYBXz5OfB7O0euvv476+nrBHFavXo2TJ08ikUigra0NPp8P0WgU1dXVwoIlZhSLxZBOp2G327FixQoZBwLLFBKNjY3I5XJobGwUAb1p0yaEw2EEAgE0NDTghz/8IbxeL9544w0Lh4dC+r3vfa/FcxIKheQ53gnAWX5Q6fWnhS2F6NjYGILBoGigGpjPZDJiwv3nf/4n+vr6AJS8Kj6fDz/60Y/w85///G379HbtmhAWdJnV1tbixRdfxGc+8xm4XC5ZSJoGvnPnThSLRdx5550IBoMyyETJmY+goaEBy5cvt2x6qot0x2l3J2CV7nSvaXCPAkC7ENl00hpupHJOhiZfadYlE9AGg0HU19ejqalJ7FKCfRRYDI4rFErFeWiKtbS0CLgZj8cRDAbR1NSEG2+8EUNDQ+jv78eaNWvg8/nQ398v2b83bNiAiooKtLe3o6+vDwcOHEBHRwd6enpE++BG0+YZsETG0mNLQUfPCD1UGtG32+2Ss5Ovu1wunD59Gtdddx0ikYhUO9++fTuOHz+OQqGAvr4+KRvBWIe/+Iu/ECB3dHQUpmli2bJlYvLo3CDMsVlTU4OmpiYRHgSfGdkcDofhdruRy+VEE+Fcz87OSvmFiooK1NXViVlVjiNoM1fjXOVrn2uFYPrMzAzy+Tz27t2L559/HvPz87j33nuxZcsWMQc9Ho98t6KiAk888QReeOEFVFVV4cYbb0QgEEAkEsFXvvIVYQhfaXtbJMYwjFbDMH5lGEafYRgnDMP4swuvBw3D2GUYxpkLvwMXXjcMw/iWYRhnDcM4ahjGxre7h0aaHQ4Hvv3tb1tOMGApMKpQKCAej+PFF1+0YBW8zsTEBHbv3o3Ozs6LJsZms+E3v/kNBgcHhdFYDkJSKNDs0N/VaDj/1p8hs1C/zgVAVZzPxXsHAgEBaOnuYhYmLjIKNkZzajzH5/PB5/OJydbW1gaHw4FYLIZkMokPfOAD6O7uRj6fx6lTp6TgjGEYeOSRR1BTU4OTJ0/i7NmzEr/yve99DxUVFfD7/WhsbERVVRU8Ho9wKYClrGQ2WymBLfEmakYcV6rNmthUUVEBl8uFiooKYao6HA6ZF7q/ySX54z/+Y9TW1sJmsyGdTiOdTiMUCuGRRx7BzMwMDh06hPPnz6OtrQ2hUAi1tbWS/4LjApTK+NXX10uCHZ/PB4ejlMuS7l/O18qVKwFAcmxwXVAj03lJudH5fPytfwhMU9iXu6dfffVVfPnLX8bdd9+N2267DY888giGh4exfft2fOQjH5EC0Xa7HaFQyIJjTE9PY2FhAWvXrsUHPvABrFq1Ct/4xjfwV3/1VwBgwY+upL0TzaKAUhGhg4ZheAC8YRjGLgAPA3jJNM2/NgzjSQBPAvi/AXwApazeXQC2olRjZOvb3YSDXVFRAa/Xi5/97Geor6/H1q1bZYJ27tyJSCSCXC6HmZkZnD9/Hs3NzQLeHTx4EC+++CKmp6fxta99DY899phkfAIgwigYDAoGwNe1BsP/NVIPLEU7lnP2tZ1OyjC1Em6U+fl5eDweAWgpbKqqqsSMKBZLaeU2bNgg92PEJLkGTNqrgU7d73w+Lyo6Q6tvuOEGGIaBc+fOwW63o6OjAytXroTf78fQ0BDsdrtFo5mamsKhQ4ewatUqZLNZ8ZRQe6Iqzs2otSTyH6iJ6DBy9h8oMWwzmYyYJ6lUChs2bJB8GeRQUCt47LHHxItEYJXu3rq6OgFHa2tr4XQ6EYvFBDTn9wjeaqFHrZG4B83Mbdu2Yffu3YIZMRmydo3rwMNyYp4WEgTndQU7jYX9yZ/8CV577TUUCgXcf//9aG5uFoHm9Xqlvx6PR6rSxWIxMT9qa2uxefNm7Ny5E48++qjsJ+JE5S7ty23vJGHvBICJC39nDMPoR6nK2D0oZf0GgP8XwMsoCYt7ADxjlnboPsMw/Ia1dMBFjZuYG4889kQigRdeeEEelqnNKJV/9atfWezdfD6P3t5eeW3Xrl3iB3c6nThz5gwGBgbQ2NhoifLUpBr2h+g+NQBu/HIAj+rloUOHMDY2JoAqf7gYm5ubsbi4KHgK3weAzs5OjI+PY2hoCMlkEg0NDXKKJpNJUSHJmNT94maioGC2a7ox6Wm5/fbbhaPAz+goVEasOhylpL52eymFHzcA8RYudP6QAFTuFSHGQQ2D5hszqdtspZgNenkcjlI+zZmZGczMzMgmLOe+kNhF7YQCk/fL5/NIJpOw2WwSTu7xeCykKs43CVgaHOfcrlixAnNzc0in04hEIpLN+1J4hAbGtWZZLBYllSC1To4ZW6FQwNNPP41f/OIX0jeuG7/fj/b2doRCITHbcrkcxsfH0dTUJO78b37zm9i/f78ICGou1Nw06/hK2rvCLIxSzdMNAF4HUK8EwCSA+gt/NwMYVV9jCUOLsDBU+cJAICCTRPtPL0xOdC6Xs1CPubm1iqUXxPz8vLgViYpzYfCaXMxEzvX7Gry80Gf54YQyWxN5BIxL0KdHoVDA5OTkJRFpqtxTU1PiYmQQlF5kfDYuaA26ApCFCSwltAEgIezcuA6HQ2JEOIb00nATMzmOXmDcTCSE8bvhcFjqwBJbYT+1lsZNoE05enC0KceEuppKr8fK4XBI2j9uTq4ZPn+hUBBBwHtqdi69ZJoxrMeDpzEjdyORiCXwj2tHx7TQ3awbN68+mMo9aDz977zzTszOzqK/v1+o2k1NTWhraxOqAFAeDGQgAAAgAElEQVQSSGSNTk1N4bvf/S7Onj0rz0Bti8/K+fqdaBZqotwAfgzgC6ZppsvAHNMwjHfFcTVV+cK2tjaTm4uTqqtg6aQsnCD+lAOL5cFKHCja/uWTXB4TwqbJLfyMtr216k9SjjZlGJQFlDZaKpXCvn378NGPfhSDg4OWDFgUfrOzs4JJFItFSxg+PQtcFCyuw3uyODDNGW6YC3Mn9yKxikxNu91uSZpLkwOAnOAch/JndrlckmtDrwdei6ec3W6X+eSz0Z1Ldi41CJpmOtFNuWvcZluqKEeQlQcMI07J3mRftTeGdUA07sQfCkJybmpqanDw4EG85z3vsZgE5LlwQ/J59RgAEI8ehS/XNN/nfSk4m5qa4Pf70dLSgn379kmeDpp4hw8fxquvvirmI1mcnFsevCQdsuzFpcIV3m17R8LCMAwnSoLiB6Zp/vuFl6doXhiG0QggcuH1yyphqANkOJgE0Zh4RgcfcZA5CXqz8wTlItJeDG56PVna/6/92Pqk4ec08YZ90smGeQ+i40wrT2A2lUrh5ptvxokTJwTsnJubk3yaF8bb4nrVNVXYP73oSFFmUloKP9KrdaEijhtPTQAWG57qq84IZZqmpcI4x6SxsVHozWWHx0UCWOecYKV7uj0Z/ESvC8eOJilNHGoROn6DXg/iDtQaNPWZG4pzxufis2gwWmuMWguid4blIrQpSCGjhYXGychBYYpG/TnOOT/b2tqKsbExdHd3o6GhAQ8//DB8Ph/C4TCmpqaQSqVQXV0tqQqY2FenDdDCk2YivUhX0t5JRTIDpaJC/aZp/k/11s8A/BGAv77w+6fq9f9mGMaPUAI2U2+FV1y4h5zYWqXjb+2d0JtSq+BcmHyNHggdm6BVQY07AEs2td7wXERaTdZeEp4YgNUU0loJn4En8c6dO7Fp0yasXLlSMlq98MILCAaDKBaLaGhokFOBNHAdp1FTUyN90phIeaYqjpvL5RKsgwIIgERL8sTh9ymIqM0xnoZamMPhkGdub2+3YC9s1PjYT222FYtFSxwGPQysp0L8hQsegCSh4fORqMVralCRfBVtMtDk4HxrOno5N0abSNRMr7vuOsl5ymc1TRNerxf9/f0CUmstSAsLrkMmP+bcUOvh5yhkGxsbsX79esRiMUvQHwFap9MppSDS6TRSqRSmpqaQyWQEZKdbl6ET5ZXgL6e9E81iG4D/C8AxwzAOX3jtSygJif9tGManAYwA+OiF934B4C4AZwHkAHzq7W7ARcSmN55W7QGrJsBWTn6i7agxD95HYyPlWoNWTcvtdV6Pp5nWhHReBarZdMNpDYgbY2RkROjLLpcLiURCTA5u/GKxCL/fj0QiIRqCpqMTvAKWYkpodnCj8/koLGieFItFS87PYrEoWbkAWOqdUmDoOSLzs/y00m5DvRH0e7wOVWNtVtLDUVtbi1wuJ7Y7x7ccQ9J2OueJeA+5HlpAanBTaxQcA226MYR/3bp1eOCBBywCiNfifZkvgmUHtNDh6U8Ql33gfHFeuO5YhvHOO+/EM888I9/h+qa5wnvwnh0dHVi9ejVGR0cxMDAg0bQ2WymUXjOgL7e9E2/IqwDeDB3ZcYnPmwA+9246odVWrWpTo+BJWZ46jxtTB4RxQXMja+2hXOUDlsLhtWqqBYg+ufgdja/wbwJ12gYGYIld0aHwJC9x4RDzoDuRSVs8Ho9QwnVf6T6licbNzjR7fFaGy7NvvAYXqsYgeJra7XYJ7dZ0eqrnjMrUr2thoOeVWhU1Qt0Xbf5oc4nCEoBE3fJvp9MpZC8SrMrnRWsJei60t4L3LF8XXDfM7r1hwwaZ23JPCD0zY2NjqKysxNjYGG6++WbBMYirkDFL4pceG9MsBYGdPn0a+XwemzdvFkGSTqeRy+XE1NMCn8KFhLGPfexjePHFF/HQQw/BNE18+9vfFszi/PnzF2XYupx2TTA4gaUJKwca9abWgoIkJTZtgmhWoT7tOEHl5Cr9GY136E1OgaWRc04qNyg3sBYIGuPQZCUKGAKh2lziKcrNybT6XLS8t+6DVrG1eq7NL55q+uTXwC37pMlq2vNBTcBuL6UBKNfw2Cj89Kal+cI+6I2qNRCONc0MArccQx2oRyGk55Njq7UErWGWmwfla4v3Gh8fl+uXHxq8JlA6DJLJpDzTli1bLK58unOBpUTBnGtmIX/++efFG7Vx40bE43EcP35comQ598ViUerQaJ7JsmXLMDg4iDNnzogAoUlH4RwMBi85V++mXRPCwmazCe2Wdh9/9KnF35xcbpxyk0GTbLihtG+di8I0TZH+PIF4LR0Mpk0c3oPCii5ZwFroWAuPQqEgXo5AICCApM1mw/j4uAB8pBbTK6BJV1yATCCrfefZbFaqlLG/5SYYhZ/eWLwnMQpuDD6bFjAUdDabDfX19QgGg5aSBMPDw9i7dy+CwSCam5sxNTUlVdF0YiNqJlTPSZhiv6g1Ebikva45G8yhkc/npeQhtRLOI3kJbJcSGMCSOcHNSHB6aGgIVVVVCAQCGB8fFwYpYBXIfr8f586dw+DgILxeL26//XbxgESjUZw+fVo8JcxIH4vFcObMGdhsNnzuc59DIBAQTfI//uM/cP/99wsfJZVKoba2FvPz8zh//jwee+wxfP3rX8fevXvR3NyMBx54AG63GzMzM9iwYQP+8R//EZWVlTh8+DBuu+02RCIRrFy5Ek888QS++tWvXtE+vSaEhVbrqSbqk127NzVWQFuO39UEGy1YAMjG09qJxja0QNHf4wbh37rPfI2qOjepXkwEmwiyaVveNE0kk0mk02lRpxnPwJRtGvRj36itcDMRvPL7/WJCcLHpz/LZqVEwsleDdvwsA8l0JnESnl555RUAQDqdlnufPXsWGzdulOxUqVQKDQ0NGB4eFg0BKB0MdXV16OzsxM033yy5JLRw0NpDIBAQITg7OyvFfvm+x+MRQcq1obN18XNcJ3ou9Triaxyv1157TchhiUQCr732GkZHR4Vc97GPfQzRaBS/+c1vBCfw+/0SmFYslrKKHzhwQLg+NptNaOL0BO3atQs33ngjfvjDH8oaf+655zA7O4v5+XnJP1ooFHDrrbfi0KFDuO+++/AHf/AHSKfTuOWWW+BwOPDcc89hZGQEfX19OH/+PGZnZ3Hq1ClUVVXhiSeesGhel9uuGWGRTCbl9OKGp6pNe5eUY63KatVRnxrah06zQKe70/wL7TakCk4cQKPyXGw8GUm6mZ2dlczLVP2YBo6LsTy7Mkk1WpgwTD2VSkl8BwBxNZLPQR4CNz37DkC4EhUVFRL/okO4uXHYCGICSyUhTdPEG2+8gcOHDwsuMjs7i5qaGmQyGeFiuFwuRKNR2O2lKE+qwR0dHXA6nTh27BjWrVuHvr4+AUxN08Tw8DCmp6fxy1/+UjAKRhq/973vxerVq0VYr1+/XuaIXhMm3dGuYO0SLfdyALhorLSA4BzRVKqqqsKxY8dQWVmJvr4+jI6OYv/+/ejt7cWf/dmfCQ5VW1uLe+65B/fccw8+/OEPo7m52VIw2el04qGHHsLf//3fW/AfalLFYhHj4+Oorq7Gww8/jF/96lcYHR2VzG80Maurq3H99ddLhvN0Oo0NGzYI03fPnj0WsJjm00svvYSXX375Im/V5bZrQlgAS9mutatLawjUAvSgaNCu/CTRi6Fcc+CEsXGx8XN0wVVXV8tG5ef0z+LiogCBjGngCQpA1E7DMMR8ICZQVVUlgUXMdsXnZxwB0XHeS5tXbBSUOpiJmhPt12JxqWxf+bhNTU3hxIkTcDqdePnll+F0OpFKpVBTUyOncaFQSpzb2dkpmyEUCiEWiyEQCCCZTGJkZAS1tbVYWFhALBZDLBbDli1b0N/fj2AwiHg8jurqasTjcXi9Xpw/f14EiNPpRDKZRLFYxLPPPitaRCgUwuLiItavX4/u7m5cf/31qKioEIyGhZx12n/tLdMCQ79evnm0UAFgKf6UTqfx4IMP4vOf/7xoeDRL4/G4HHIPPvggPvjBD0rFea6j+fl5fO5zn8NPf/pT7N+/X4BtwzDQ1dWFuro69PX1weVyoa2tDUNDQygWi7j77ruxe/duLFu2DO9///vR2NiIffv2YX5+Hj09PVKeYHFxEVu2bMGNN96IqakpfOELXxCezPj4OAYHByVj3JW2a0JY0C6li7F8g2pNgxPGjc1TUtucvGb53xpo1DgH78X36EokeEY+hT6xtEDq7u6Gz+eTPJDZbBaJREKIPKZpionAhXv+/HkkEgnk83k5td1uN+bm5nDixAnccMMNwm+gxkO2I7NOE+MgIEg/O1VYEq/S6TRisRji8Tjy+TwGBgYwMTFxEXGpWCwiGo3C6/Vienpa+koMgfeYnZ1FOp2Gx+PB6OiomAKMg2hoaAAADAwMoL6+HqdOnYLT6cTU1BSqqqpEcOi5IQdhZmYGbrcbVVVViEQiqKmpwd69e7Fv3z7JP5nL5bB69Wp0dnZi8+bNkufB5XLJQaDxHgq88saDSQtfh8OB8fFxTE9Po6qqCk899ZQIVmq0rGVCb8i5c+cAAN/5zndw/vx5bNu2Db/85S9x4MAB1NfXS2Dfo48+isrKSng8Hvzbv/0bAGB6etoCkjIPajgcxoYNG/D444/L2vf5fEgkElhYWMBPf/pTTE5O4rHHHkM2m0Umk8GJEycQCAQkIVB7e7uYP1ejXRPCoqKiAuvXrwcAWeCM3uT/VMESiYTFttS/aXJosKwczCr3rWvWnlZjtUACYCE26dwFFFK0uxOJhPj4NcjGJD2GYSCTyYipMTw8jJ6eHsnkVFVVhdOnT2Pr1lKgLjEM9odCNR6Pw+12i5mUzWZlg1MwxONxRCIRnDt3Dm63G9FoFG63W1x9zMDFk5l1KSh0KKi8Xi/m5uaEgERMAyiFfYdCIczMzGD58uVYWFiQEGq73Y6xsTEJ8qqsrEQmk7H0W2uExWJRIjNJruKpn81mpQ6I3W7Hr3/9a/T39+NXv/oVgsEgGhsbcfPNN2PNmjUWLwa1VG2yag2MsT3AUk7QaDQqa8PpdOLcuXNob28HADz77LOYnp4WboPb7UY4HBbMjHk2Xn/9dSwuLgrmQ42Y1drpKu7t7cX09DRWrlyJ06dPI5lMIhKJoLq6Gp/97GexuLgomubo6Cjm5+fxr//6r2Ku3H///RgfH8fc3BxOnTqF/v5+LC4uYsWKFfjGN76BlpYWebYrbdeEsJifn8fRo0dF0jPVGSeSLkZWiDIMA9XV1fB6vUgmk+LR0HYnTzmeLsViKfaCOIT2tdOPTVyANqlhGEJ40loKvRcAJF2d1+u1AGjaBcmFy0AxhqkXCgXcfffdGB8fh9vtxgc+8AG88MILeO655/Dwww8jl8thYGDAstCz2SxmZmaQzWaRy+WQy+Xg8/kwPj6OSCRi8ZBcKsSez6nNFo6zz+dDPB6/CN+giQFATj16Qkg1bm5ulsxdPJXj8biMFz06DFKjB4c4Bs0RjhvHlpmveJJzvfj9fjlIstkszp07h1deeUWYjk1NTbjlllvg8/mwdu1a+Hw+mbfq6mrRECnYee1EIoHnn38e2WwWNpsNR48eRUNDg5hNu3fvRldXF7LZLAYHByVPaF9fH44ePQq/3y8bnJoID77KykpJ7LN161ZEo1H09PRgYWEBhw8fRk9PD5qbm3H06FE0NzdL7lSfz4d/+qd/Qjqdxvbt2xEOh9HR0YFQKCSZv4rFIrZt24YnnngCiUQCu3fvFkHBdXul7ZoQFjxlaIbQpuMio9TmBNpspcxKa9euxfj4OBKJhJysPHmoynKQyHRjLUtNaWYfiOQXCgVMTU2JO4s27OJiqXgLASrW+NAaDDUccvm50Llwkskkksmk5OJMJBJoaGgQb0BTUxPS6TSeeeYZHD16FBUVFeJepYeBm42EJ1Y0ozaghRZgLSytsQyCs1TZdf0SovqaTMQMU7FYDOFw2BK7Mzc3J9iLJobl83mhkjOYjF4UTVwLhUISHcs+zM/PizACINoGAMmRwc3Omih0V4+MjOAHP/gBKipKNWRZuqCurg7t7e3w+/3o6urCsmXLYLfbJWnOmTNnsGnTJjz77LNoamrC+vXrMTIygrq6OgwMDGDTpk2Ix+OoqanBuXPn8MILL8gzkCxGbgXLELB4Ed2809PTOHr0qBCuSNmemZnB2NiYJAm22Wz4/ve/D6/Xi0984hMiiMq9OkDJM/Xss89iz549qKiowAMPPHBJk/xKmnE1LnKlrbm52Xz00Ucvcg1qFiZNA4KbbW1taGlpEU0gmUzi7NmzkkoeWKIDA0vsvWKxaNEc+Pz0ctCzUV1dLUKF3H8AEq9RW1uLQqGAZDKJfD4vOALNFGIXMzMzUguD6vjCwgJyuRwmJyfhdrtRV1eHUCgkBK3BwUGcOHFCxoKnLTEQagb6FOYzMuS5nKOiAV8A8my8h+aI0LPD4jqMW6Eg8ng8OHnyJNauXYtIJCLl9nS8xqFDh8Tkogbh8XiQSCQssTP0TDHQjHk1gKWSDhxzzhm1EWo+FBLUlnThIf5NMFDzTKhZ6HHj/evr6/Gnf/qn2LFjBwYGBvDLX/4SAwMDaGpqwsmTJ3HixAmJ/OU8ML/GP/zDPyCfz2P37t04ffo0isUiWlpaxKtRWVmJ/v5+JBIJPPjggzBNE7t370Z1dTU2bNggyXuAUh5NzRcqbxyHp59+GmNjY3LgPfLII1i7dq3gfRcEzBumab7nMrZoaZ1c7hevZtO8B+1vJzDFk1HHKBw5ckSqkVNLoOlCIUFXFbBUns80TYn+48bRYCVfp4YCLIGsOltUd3c3rrvuOplUh8OBp59+WvJ7lrP9DKOUTzMWi8lJSE/Ixo0bcfToUdFKWGqOMRj01vBkpsrMzUM6NLUMPg+zZtFm1qo8v083L4FMbmgSqSorKxGNRmVDmKaJaDSK2tpaScXH2Acm1ZmcnMSGDRvw3HPPoaKiQjSCiYkJVFVViWDixtbjvLi4aAGG6V1iGYVisSgEN+bB1JXWKDxZKLk8aIx/0yvEtcP7UdjH43Fs374dxWIp8G3r1q1YWFjAsWPHUCgU0NTUZIk50RyV8fFxtLa24kMf+hD+5m/+BsViKd2A1+vF8PCwaFG5XA5DQ0Po6OjA9u3bLfNSX18v/xNgZdNri23Pnj04efIkgJJgZM6SyclJ7Ny585IA77tt14RmEQ6HzTvvvFNozVTdddzA4uJSXQ9qCLSt+RqFDdubeUQ06YcbThO0+JuajSaF2e2lsnidnZ246aab0NPTIyzOb37zm5IOLpPJSO5GAGIacWHW1NQglUohk8kgmUxi+fLllsX38ssvWxYyAEmAAkBce2wUCBqs0xyR8gWmg86Yj5LeCp/PJ/gD3a46AI0clObmZgSDQWzduhVHjx7F9u3bkUqlMDQ0hDNnzsDhcGB6ehqGYYhJR4FD3gs3PbkU2j3JHJw0k/Sz8xAhGAos1THhRqQAoFDSwrs8IItYGAlQt912G+rr66XIEzEgXezJNE3xRlGDqaqqwh/90R/h5ptvxsmTJ9Hb24s///M/h8/ng9frRV1dHZqamjA5OYmZmRl4vV58/OMfv8gdnkqlJBy+XDBcSljce++9orXZ7aX0grFYDJFIRMb35MmTv/+aBU+TQqEgriPaouX0ZO3u0zyCclo0N7lG2/UGo/DgacXv6EkoV3W14BkcHMT4+DgaGxvhdDolV0UsFpNNz9qcGrcAIIBtKpUSjIb2ORufkyo2sBTSrQFanvg0t7TnBFgiIOlYEl6joqJU3YsuXI49XYLlpzUJXp2dnXA6nVi9ejXa2tpQVVWF5cuXSx7OV155Ba2trUin0+JhYE5QmmY8wTWXg+YQ+6bD//k/NyjHhyYK3cgsmKwPG+I1FNwa3Ob1tTAi+Yu5SOjm1fwTCk+9Nqurq9HY2Cj3cLlcWFxcxI033ohjx44hm80ilUpJODt5HLpPmUwGAwMDkpn+UsBkuYlOYN/n84nJGIvFMDExIV4ozSu63HZNCIvKykqsWrVKgDQuaqrIpGnH43GMj4/LAuMgMMvSwsKC+Nw1448b1mazWfgONHf0qcmFm8/nxU1INZ1Uaqrb8Xgc0WhUTCbDMATL0HgC/6YJMTMzgyNHjmDTpk1YtWoVfvSjHyEWi6GpqUkCurq6ujA4OCgbVxOzHA6HJYUcNxC/W84pAZYKJ7HZbDbxpvC5+Oyatg5AvAt6A+dyOYyNjeH06dNoaGjAxMQE9u3bh2KxiI0bN+K5557DsmXLxM2oAUgyXQGIuzmRSIjZQS2Jm9RmK2XG0gl8iQsRpCYWRIGjE+oAVj4HzT0dtKZjhzo7O9He3m4RTsxslkqlYLPZLPez2UqxKKFQCF6vF6dOncItt9yC9vZ2/Pu//zvuv/9+RKNRjIyMiNv9Pe95D1599VXccsstmJ6eRjAYlPIMa9assfT5Uo3rLZvNYteuXfB6vYjH43jjjTcsc8cUhLq85+W2a8IMCYVC5vvf/355QG5gYIk4w83NalVbt27Fnj17kMvl0Nvbi0QiAZ/PJ9WrCEySQ8ATzuFwIJFIAIDwBXRqNo1j0K6lxkOVORgMorKyUuo7aC8Ev1se3FZOPSbTMZ/P44477hDXMZ+9tbUVP/7xj+F0Oi15LFgguvy6+hTS1G9uMO02pdChO5onExvHzDAMWWzcrLpVVVWhtbUVkUgEHR0dSKfTWL16NQ4ePIiqqioMDQ1J8l+gVOuDG5ICnpoj4zkYdEXvCZmdTFzM7xCgpWDXni0AIrDpYeO4cGNzjojL8B4sHblq1SqLx6yqqgrRaBTd3d04cuQIvF4vKisrcf78edFANEDa1tYG0zQlTwlLUfL5Oe7z8/N48sknLeYzGzEUriWuv6NHj+LHP/4xotEohoeH5d7lHjC93iorK/HSSy/9/pshDocDy5YtE+amRqk1V2B8vJSdb3FxUeIQVqxYgenpaXFFcrJILdZELADC8uOJwcVCN6uOkNTIPF1ifX19OHjwIFatWoWhoSE5yan+0w5mZCnBPWoGLpcL6XTakvXowIEDojHQHMnlcgiFQkin0wL46eAnLUy5SCnseGpSnedi57PwMxSiRPHZf/ICbLZS1CPniKZhKBSS2JdCoYDu7m7MzMzA5XLh2LFjCIfDOHXqFOrq6iTT9vz8vAhD2v3EIrRrlIKkuroaMzMzwiEIBoMypvPz85icnBStj8KQmgSfg2NPrY7rSqvxXE/aI0KshOups7MTBw8exKFDh/DGG2/g61//Og4fPoxisRQsdvjwYUxOTsLj8YhWu2rVKmzbtg0vv/wydu3aZdH+GHZfKBSwZcsWS+1c3QjmJ5NJ7N+/Hy+//DKOHz+OdDot40nhSm28fAyAJXzqivfpVbnKFTaejES8NZefJy15ElQDP/nJT+Jb3/oWgsEgwuGwLECqvEyMQlWSNOR7770X2WwW0WgUe/bswdTUFJxOJ1paWpDNZhGLxSxh4hx8Lsaenh7E43GEQiEMDg4ikUiIrc6Tnl4ZMiFZ9wOAxJKk02k0NTVhbGzMgqMAkCI6BOmApYrkVJe5CXQ6Qm4ECg99KmlgkfZ8RUWpRgs5FdXV1ZKZi4QoLjx9ajPnKAXtmTNn0NXVhbNnz0rJQLfbjXg8LliFzWaT0oNkturyhvPz83C5XIJZ0LsSjUalP9SYaE54PB4BAXXxJpoo+n+aojpfJxs1SKDkEu/o6EA8HkdFRQWWLVsmYeDhcFio1uFwWMY+l8thamoKExMTWLlyJWpqavCb3/wGExMT+MQnPoEzZ86Id42H18c//nEcOXJEQuG1uaQFxH333Qefz4cHHnhAtEyuIcNYykvK65Z74oCLsb7LbdeEsKisrERra6tsSG5QbnJ6MJhP0maz4Wc/+xm6u7tloHw+HxYXF3HXXXdhw4YNQvDZuXMnqqurceONN6KpqUmEUU9Pj/AFduzYISSj73znO+It4SLL5/MSwdne3o69e/dKlW1iHcwRSbOGp78G1TiJDAtPJBKyUDRQBgAnTpxAS0sLksmkuEO1Z0VrB/xbg7AUQHydmge/z/cYmzA7O4tsNiuRpUwES7yEJz05Kqy5OTIyItrd+973Phw+fFhOPZ/PJ4KC4KPO2aEFmdfrlU3A+A+uA7I1NQ5DL5I+PWmyOhwOyQyl0+RRM+KY8DABlsh0ZAWHw2HcddddWLNmDV5//XW89NJLWFxchNvtxvLly+F2u1FdXY2bbroJ9913H7q7uxEMBgVLKhaLmJycxNNPPy1mAAlhk5OTmJ+fx/XXX4/p6WnRAmkacv74PNQYqqur0dvbK+5ZjtH8/LzgbdTINb5FDeRK2ztJ2NsK4BmU6oKYAP7JNM3/xzCM/w7gTwBEL3z0S6Zp/uLCd74I4NMAFgE8bprm8291D7fbjR07dggdmkVeOZEMsuHg8BRl0hlupA0bNmDr1q1iTng8Htx2223w+XyyeLTqaRgGbr31Vkkga7PZ0N3dDa/XK2zLiYkJOJ1OSVBSLJZKDra0tGBwcBAejwcNDQ1CyNIxDfQsUBhokhhPApoemlIOQE5VMgFJESe2ogWM1oDKr6+FCl8HlrI4+f1+2WDpdBrZbFY+o+1+AsUzMzMSTGaaJlauXIlEIoFVq1bhwIEDkvjF5XJJhOnExARM05QYE1YmI9jH53O73ULhJljNotEM5qPdzo1AgJLCgNqYy+VCNpu14CzUkPSG5LzX1NSgq6sLuVwO9fX1uPXWW9HR0QGHw4GDBw/KgcQITh48MzMzaG5uRjKZFFIfkyrTBUr2a0NDA9773vdicnISr7zyCpxOJ5qbm3H69GmcOXMGoVAIW7ZsgWEYaGhowLZt2/DBD34Qu3btEo8aBUgwGITL5UIymRSBrp+TgtHpdMLtdmP16tV47rnn3mobvm27kvKFAPC/TNN8Sn/YMPV1LMUAACAASURBVIxVAB4CsBpAE4AXDcPoNk3zTUsi2e2lNG1MpEJXKCUqQSwAAirOzMxgampKFsk999xzyQSyzc3NFgYoN6TdbsfatWstHgK73Y73v//9FpeYnoTFxUX85V/+JWpra5HNZiXnABcbPQvadOKi5nO4XC4JOiPIVygUZPMRRyDJLBgMIhaLyek/Ozsrrkf2vZyVyn5zc2gwD1gSFNTYSJTSrlnm2dSU5GKxiN7eXoyOjorAPnPmDFatWoW+vj50dHQgmUyisbERr7zyCvx+PyKRiIWBSnMynU6LVsATm8LY6XSKyamxBAAiYFwul2A5LGCsyXb8m14zeg4AiLuSBC9qh5FIBNdffz1Wr16NTCYDj8eDfD6PT37yk3jttddwww03IBgM4siRI4hEIqioqMC3vvUt7NmzBwAwNTUluAUFMYteswC23W5HY2MjHnroISkNuXPnTjlYKGyIe33lK1/B2bNnZd1qTYEANYU4sQ+C8a2trWhtbYVpmhaS1+W2Kylf+GbtHgA/Mk1zHsCQYRhnAWwB8Npb3YcnL7AUy6BtUQJWtDVJO6YU9fl8ch0miNF2mz6Fy+/7Zv1QYwCgJEy2bduGvr4+TE9PSwAZUFrExFOoEhKgzeVyyGQyYofzRGQdTtM04Xa7xd50u91iHiwsLKC+vh7j4+PiBQgEAiJouLkpZGiW8Lk05sBTKZfLwePxiKlGrgIJUNTKKDSYC2NhYQHHjx8XHCIQCCAQCKCvrw/BYBDHjx9HS0sLYrEYqqurMTo6KvNFM4JClM/L+dWAIoWAjhcieMvrMaEuNR/2URPHKCSpiWneDfuRyWTQ0NAggW1nz55FX18fvvCFL1jo8Js2bUJNTQ0mJibQ3NyMFStWYGFhAfv375c+MPPY6tWr0dXVJczNctyKBwzrlgaDQYyNjYnApuvX6SzVcW1oaJBno6Ag0axQKCV1pqZBTYL436OPPop4PH7FKfWAKytfuA2l+iB/COAAStpHAiVBsk99jeUL3+q6lhyPnFiq1UToeUJw0rm4gFJatxUrVlzkN9faxJsRXN5pKxZLafUbGxvhdrvh8/mkgC37T3OJdv/CwgKi0ajU9eSpqdVjmhBUjwuFgrgZ7XY7zp8/L+5TVp1KJBIoFAoSJ8GTn5tB278aAAMgXg4KZaqs3My9vb0Sx0Iwk0Dh4uIiJicnhfHJXJzFYhHhcBhAaSMzAtY0TXFJaoYpTRyOPwP4NFbF3zougs9bzqAk6KvDz9lfAuY0f4hjMKiQwpsmUDKZtJiOXq8XPp8PpmlKdip6kZ588kk8+eSTWLNmDT760Y/i05/+NPr7+9HT0wOHw4GdO3fKOBP30hQBwzDQ1taGgYEBxONxxGIxi+cqEAhgzZo1SCQSlrAH9tvtdktcDlDKj3H+/HmcOnUKn/70pwEAdXV1+OIXv4jvfOc773itX6pdSfnCfwTwNZRwjK8B+CaAP34X15NapzqUlo2TrF2GQCl/gs1WijqlukeC0bFjx2Tz2mylaEiXyyUSH1hiRpb7pS/FN7mUIKE2QHceKdxaC6IGoOtwFIulvBA8hciW1FoLVc+DBw+KeeDz+eTEoSqrM2dzDILBoJw0mpKsBYTGMbR7ja+HQiH09vYKSYuCwjRN0QyYpp+BcefPn0c4HEZjY6O8tmHDBpw8eVJo0DRB6Gqlhsg0h+ynBhwZC0MTjmaoxmQoNHT2MGp15eEAPFhqamokXD2VSkngFQFBwzAk30f5GrmUpsr21FNPIZ/P48iRIzhy5AiamprQ3d2N973vfXjllVcwMzODdDqNaDSKlpYWy3qrq6sTrsT+/fuxdetWywG3Zs0a7NmzR3hETIvAsRsfH8e5c+eQTCbFhLnrrruwbds2uUdrayuutF12+ULTNKfU+98F8J8X/n1H5QtNVet0/fr15qW0AP7NidZ8fuIchmFY7H3a9FxE3Fg2m02IPPzN1/QC1G7CcoIWAKxcuRJtbW0X0cZZv0ODmvSp64XHfmpCks6pQPuTZgJtWC7muro6nDx5Uqp8M4aDYd86MpUbhs+nzRQyUoESwOx2u9Ha2moJyuI4TE9PC2BJ4c2UASQr0WsVDoeRzWaxcuVKvP766wKekohWLBYFAASWYlM0tZuA5aUEPMeb46tp3TQ7OLb8HDUJ1joh8MmxKfcWHD16VAQHDyqG4fv9fnz1q1+FYRgIBoPo6ekRwdPe3o6RkRGk02kMDAxgxYoVaGpqwh133IFdu3Zhbm4Ow8PDaGpqsqwzeqqoefX9f9y9eXRc1ZU++t0qTaWxNJYkW6NlWZ4HjI1HwA5gEjO3QyBkpQOd30uH0AkNhECaPFh56RUnWZ1O0q/DkCwIJA0NhGCSphM7GIgHPGEbbEseNA+lUpWqVKXSWNN9f5S/rX3LAgzO6uXXZy0vWaWquueee/Y+e3/723s3N2Pt2rVIJBIYGBjAsWPHxKotKSlBb28vWlpaLHT8zs5OLF++HGvXrsWKFStEabDGqyYJftLxidsXGmf7nJ799SYAx8/+/zUA/2EYxr8gCXDOBnDgw66hyUYUGh1y5Kk4XTSBn2eiEIVapzmnXksrIfq3/G79HRw8hbnRqbw0QYpWBc3f1AgFNyz/zo3P79Cmtsvlkorf5eXl6OvrE1ejr68PGRkZOHr0qCD/ZKuSL5Gfny8RFprrvJ72w7lh8/Pz4XQ6UVNTg5MnT8JutyMcDosVoBmgWsCoTHkd1tIMBALIzc1FeXk5vF6vvJ/rRouPJz/vPxaLCYZD+jMtCn0v2lpiOQHdmIjWCO+PBwstLs6F36OrWbHrvNfrhcvlEiCdTZxsNhuqq6vFKurv75d57Nq1C319fSguLrak0RcWFko5f7pbPPS4NgSXx8fHUVBQAI/HI8WPWIXMbrfj8OHDstZMcbDbkxW6+vr6sGnTJonEPf3002htbcWWLVvQ0NDwYSJ4XuNC2hfeZhjGEiTdkE4A/9fZB3HCMIwXATQjGUm5+8MiIQAki5H/T7UyuJF07UydA6HBPe3X8fNkuRGwA6asCH0q8Vr8Pp18pbNSaQ2kp6eLVaMVAJUQkXya8jyVeRryc/y7zWbD8PAwenp6xMLweDwoLS1FdnY2hoaGLK0DtHKlBQNAWJecpw5Rch50cXJyclBaWioRBIYqQ6GQRKR0MRyt3EzTlAgHQ6LFxcXo7e1FQUEBcnNz5RSngGgXSYcu6XICSWHXCWFcf50tTOVFbgsw1YBIU7QTiQTKyspk/lrpsFQfn1dJSQlsNhuqqqrw5z//GfPnzxc3liQs5ihVVVUhGAzid7/7nYXlyrm3t7eLS2S323HFFVfA7/fj9OnTePvtt0Up5OXlYfbs2QKIs5Xl+++/j4qKCixduhQ+nw+vvPIK5syZA9M0cfXVV+Pyyy9HV1cXfvSjH2FiYgKrV69GIpHAN77xDQwNDUmFseHhYbz33nt45plnPkwEz2tcSPvC1z/kM98D8L3znQSFWm8ampHa7NR+onZXtOCkui+a9UfFooFAbf7q052Cn6pQOBe+n749eRD6BOfneU9UeExyYj0GhkRZXQuAmI8A0NnZKdGexYsXY/bs2RgfH8dvf/tbASgpNLQyKDg6ggAkhaWkpARFRUVifjNW39vbKzwKzl1TyKl0dCFjAHKqs30i2ZYUcrognBPdDG2Ks72A5lzwOdJKYgSAz4vPlSQ4TVLLzMyUitkDAwPIzs5GTU2NNP0ho5e9RRmKTSSSGZv33HOPWHbp6cliw5OTk+ju7kYgEMCOHTsEENXVxVkwyO12y6nPIsQlJSWimKms/vjHP+LQoUNSbIn4GxPXmH9TWFiIuXPn4sYbbxQuCzk6tNiomNPT0+F0OuH3+2Gz2fBP//RPwiW6kHFRMDgZWjIMQ/AE7RbooZVIqstALc7XNLeA10l1Z3gKpVop/J1xcp6OmhxF6wOYKtvHk5zKwDRNCXOyADGJZyQ6sTBKenq65BrwWpznwMAAnE6nAGiZmZl48MEHAQC/+c1v0N7ebrEiAFjuhdRuIulMDGN5Po256GxZWi46KqFj/QQn+Z6ioiIMDQ2hsLBQmK3kNQBTvVepROjmpDZhHhkZkaK/tDx1URxWQtdKlUqcijkajaK5uRm1tbVSNX3u3Lno6uqC0+nE4OCgBSzUyWnsd/LrX/8aNTU12Llzp9QW5dyplDWVmvvG4/EgEAigpqZGiG7cjzxA8vPzcdNNN6G3txcnTpyAw+FAKBSSBkTEdhYsWICnnnrKwp2JRqOorq5GdnY2ioqKUFNTg8bGRimZwJD3mTNnZM4XOi6KrNNly5aZTG/mSahNbAAWDIMCoIcmV3Hz8v0c+jTkolMAtOugM1AZv6ew8Kem5/IhOp1OKSpMJaRPz/MZO3fuxAMPPGAhWFEouNm0e5SVlYXLLrsMtbW1ePzxx0XwdCzeMAy4XC5ZM5KshoaGLMl6VDSkuGu8iGusw9z084EpHIBs17KyMqFw9/T0WHI0AIjw6+cBTFHsWWKQtHIdZuX1qNQYLaKrAUyBorRiuK8ikYiQ6mgV6DUl1rBs2TJZL7JGeYoTqNX8Dlo2XJucnBx885vfxPLlyxEIBORkp6DrIkXcs/z7kSNHsHv3btTV1aGystIyF70G00X0ppNnyozdbv//f9YpzfTUG+dm5cnI1/VPfl5/Tv/UkQAgWb15165dAhimpaVh8+bNUp2b5rImhul/3HCcMx9QNBqV+DyxESoMnsZ80NwwjCaQP8L5anq23iRcC56e9HH//Oc/Y968ebj99tvR2dmJ/fv3A4DF+qHlkJ6eLu3tuOk1UKmxASoN/p/fSaXCuVBAAAhPoaioSIhTFFjySwj0ca20JUNrSBcD5jqS75GbmyuuCRXK5OSkWE5jY2NisdC1iEajyM/PF2YoBW18fFwK4QJJy6eoqEh4KHQruAY8RLgH+GyIV1BJVlVVyfNibgvds0QigTNnzmDGjBkWajh/zps3D8FgEE6nU3CK6YB3ve85D71f9Ps/zoH1QeOiUBbRaFTCcgyHaaYmYG0zB0x/89p90J/ja36/H6+++iocDgfWr18v3Z9Onz6NsbExXHrppZZCIdzoBFgpHNzo2sKgmUkzGpjKP+GJS4VBM5kuCjEawzDEzdGuVOqpok98ficp2KtXr4bb7UZXV5cF0KTrQxdA8xt0iFgn8Wn8RitOPT8KsZ4TlVhtba0U7E3NugSmUtSpJLTi4rPnXKmQGPni+qcW5EndDw6HA+FwGC6XSywEva84B94P56mp73y/tgYY7iaGwvwgJpgNDQ3B7XZj6dKllmgQv9Nms8Hr9aKqquqcjFDDMLB69Wrhj6TiddON1D3yQVbGhYyLQlkkEsmUXG5EZqHSJMvLyxOB0jReAOcoEG5GTYwyDAPvvfceqqqqcOedSd5YPJ4s6+/3+/HII4+gvLwc7777LjZt2oQ5c+bIZtIny3QPTLsLqX6hfnCcKweRfs4/EolY6g7ws5r2TJBRX5vkLjYPfvHFF+F0OvHVr34Vr7/+Otxut4CW/AxBUWIyVBhUdrwOK1HR5eDa60iRtoRocdhsNvh8PsydOxderxeBQMACTvK9+nN6jaiMmEuhk+1SQ8/6mfB1rjnnXFFRcY7QaQHlNRKJBPLy8iw1T6gIGQnhgWa321FXVydW6b59+3D06FF0dnaKu5iVlYUbbrjBsie0cmZndDYw0ntDj+kEP9Vq0HvUMAwEg0EMDg6ioKAAJSUl/3ssCz6MSCSC1tZW9PX1YebMmZiYmEBpaalQbnX4Ugue5jtQEFgXIRwO49VXX4XX68UjjzwiKPTx48fx61//Gm1tbTAMQ06AQ4cOSfiqs7MTS5Yswdq1ay3zjUQignbrk5LkKUZnqKg0gKrdCQ2+cvMSfWeEgd/NECwH/6+Lv4RCIaSnp6Ovrw9PPvkkysvL8fnPfx6//OUvhSHIjUelQMp6eXk5FixYgKKiIvh8PqmbwI7spmmit7cXHo9H0vnJMaAA69yHeDwujFqewBS+VKuJOIHmT2jMSpcp0EA0lQGtJbpNZGlSQbGoDtmvjM4wCYsKVJPUNBeCKfSsnXLw4EEsXLgQDQ0NWLNmDUzTxNKlS/HGG2/gscceE6DX7XbLfqUComVEhcEkuVSXYjoZ0Vwkvaf03rrnnnvQ398Pu90uYPLTTz99Tr7TJxkXhbLIyJjqy/jrX/9aFi89PR2PP/64RdNysQArI5GLRoVCP7WnpwcFBQVSZ4GL6PP54PV6YbfbkZ2djZGREQSDQcyfPx9jY2MIBAIYHh7GjBnnprWkpaWhuLgYhpEs7z82NiY5IKm5DKmCpAlNY2NjmD17NmbPno3e3l60tbXBNE3xqVlzAYCcsvq0o+IhiMnXqXh8Ph+ee+453HLLLXA6nVKSj4l3POkLCgoQCoUQCASwatUqRCIRdHd3S0JTIpFsvfC5z30OAwMDOHToEMrKyiTioC0T8j0qKyulxwZBX7vdjlAoJIqDz5BRJEZj9LOkstAV02hdMcGMguRyucSF1FgISWaMdtD10DU9qVhMM1kKjwlcGzduRGVlpezT/Px81NfXY9WqVThw4IDUID158iS++93voq+vT5Qgs6in27vnK7waXGZUje5QKh6WSCRkDXgYhMNhAeEvdFwUyoKLOz4+jocffhi1tbV466234Ha7xTQfGBhAQUGBWA4aRad5rAWUD6aiogJvv/02MjMzsX//fqxbtw4HDx4UcJPl6FmEhN3C2K7uhRdewEMPPWSZr2EYorWZeTk6OipVr7jZeTIdOHAALS0tEqY7ceKEgHDcPE6nE1u2bEFlZaUUTAGAw4cP4z//8z/R29srlcMpnBojYGTCZrNZUvVjsRj+67/+CzabDZ///OdRU1OD/Px84QhkZGSgoKAALS0t0rP0zTffxObNm7Fv3z6Ew2GsXLkSM2fOhNPpxKlTp+B0OjE5OSn06UgkgtraWhw/flx6wmZkZKCrq0v4DFxnhkWp1LTyM01TMmr5HCORiLSIoMvH6AjbUWZmZsLpdJ5Tv4KDJznDsXS9dOTFMJJMSyqV6667Djk5OTh9+jR27NiBpqYmXHvttRgZGcGKFSvw5ptvYnh4GE1NTcjOzsb69euRk5MjeBZzQfSe0VYRMGVBpboItP46OjrkHqlsqegYMdSWBpAsPenz+TAwMCB7ec6cOZ9QMq3jolAWXJzKykrMmDEDhmGABXxN00RbWxt6enqwcuVKdHZ2ipmZkZGBUCgEp9NpydXgqR2JRLB9+3Y5lS+55BKEw2EsWrQILS0t4gszZp+VlSVtEIGpRCxaAlRGNHsTiYRUry4uLkZZWZnlwUciEUQiETz00EPib2vqNDCVrhwKhfCLX/wCtbW1+OIXv4jKykrk5uZi3bp1WL16NV544QW89NJLQqDS+AGZojTJKRR8jaf+E088IRGdpqYm3H///TAMA4FAAAsWLAAAKVTT19eHlStXYs+ePXA4HGhoaMD27dsxf/58lJWVIRqNorCwUOjdrHRG12RiYkLA2pycHJSXl8Pj8Uix43g8LoLNDFfm1bBBkKZ/04UiTpNIJBP5+Dw0X0NzbTSuYZqmBbvRFcLYzmDlypU4deoUnnvuOZSXl6OgoABz5szB5z//eeTn5+PMmTPo7OyEzZYslOTxeNDZ2YlQKIQ1a9bgnXfemRas1fucws39Pd1gFXkW9qV1nYrLcU96PB68//77eP/998VCSktLEw5JKoj6ScZFoSxSCU7EHrio27dvx80334z+/n6cOHECWVlZKCsrQ3p6OjweD5qampCTk4Pm5mbMmzcPwBQy7nK5EA6HsWXLFqmTyWK4xcXF0i8VgIT0aL2QvKQ3KudHZbFz505kZWVhw4YNFiCOlk4wGITD4ZA07VR/G4DgG6Zpor+/H5FIBAsWLLCAYQ888ADefvttS4q2Nmv5O7+fp6YWFFpDk5OTOHr0KB544AE8/PDDOHHiBD71qU/BNE0cOXIECxYsQEZGBtra2rBq1Sp0dHQgHo9j9uzZolQHBwclx4ONrBcuXCgsTFoCBQUFcLlcUvzYNE3U1dXh9OnTKCgosCTUUdA1aQuAsCw1NT4/P19Cqdw/HxQF437gWtIqIy+jsrISNTU1aGpqQm5uLtrb28WiTUtLw1VXXSVVyukyJRLJlHOv1yt7qqurS/Am9kjh4GHDOefk5Mh9fZBMEFTVIVoqCHJkTp06hX379mHv3r3o6OiQ5EoN5E5nvXyScVEoCw3c0TdjjYQ9e/agu7tbmrc0NDRMG06Kx+NYs2aNxM652FdeeSU2b96MJ554Qvp39vX1ie9XVlYGr9eLcDiM/Px86ZhNZREOh9HS0oLa2loBYG02G3Jzc/HOO+8gHA7D7/dLH8xdu3ahqakJzc3NUoX6kksuwTe+8Q388z//MxKJBL72ta9h27ZtwrqMRCJYuHAh1qxZgz/96U/YunUrSkpKsGrVKrjdbokU3XXXXfjpT38qOIlOQdfRCS1smoWpXTXDMDA4OIivfvWryMjIwBNPPIHi4mJ88YtfRF1dHQYHB6UfazAYhNfrxY033ogjR45gZGQEs2fPxo4dO1BaWio1MwGgrq5OKkmxnMDAwIA0qqaiIa2bvUxZDIeKlIqaoWy246MbQUHna1QkGtfgHqElRwsLmFIeZWVlMv/W1lbU1dXh8ssvxx//+EfY7XbceOONaGxshGEYGB4elnYHs2fPljlFIhE0Nzdj7969FuHm9bSw0iKw2WySdzLdICAKJBW91+vFG2+8gb1798Ln80ltDJL1DCNZ9k/zijg3XWnsQsZFoSx0FSGbzSY9OYLBIH784x/jyiuvlPcahiFmI08SCg21OlvFcbEnJiZw9913i+lbWVkpIJ2+1owZMzA6OoqJiQm4XC4J49JEj0ajmDdvHjwejwhUd3c3nE4nli5dipGREaxatQq1tbUIhUI4duwYent7cf/996OgoACtra2orq5GQ0MD5syZg1dffVVCdk8++SSAJDbzhz/8AQ899BB+//vfo7q6WmpjLliwAAsXLsQ777wjZqmmW9MS4WmS2t6QSkQP+utpaWkIhUJ48skn0dfXh8bGRqxZswatra245pprsHr1apw+fRqFhYVIJJLFaJn3MDo6Co/HI8VytFvBQj0AJIwJTLFBAUjLA+a/hEIhOR3HxsZgGIaAe3QfNPWZnBEOCgxBTgKlPIj0PqutrRUa+dDQkNRSnTNnDr785S+jvr5e9llhYaF0/CJdm2Pt2rVYu3YtLr/8ckxMTGDdunWora2VPQtMCXBhYaEcVtMV0tUuCl2wkpIS/Nu//RtmzJgh5fQYSWILjdRnrb/nf41lwZOCSLbdbkdraytaWlrgdDoxa9YsS5hIg4fAVNiRJjAHF4hp5YlEsj7A448/jlAohEsuuQSzZs3CrFmzsGLFCpimif/+7/+G3+8Xczg3Nxfbt2+XUz4ajaK7uxt5eXmYN28eGhoapKZDaWmpmJcLFy6UEmysQfHYY4+hoaEBvb29UotTszeBqTCwzWbDDTfcgAceeACbN29GIpFAW1sbvvWtb+Gxxx7DkSNHxHWjQOi6GNpnTq3Pyc1EpcITnDyL4uJiDAwM4LXXXkMsFsMrr7yCoqIiNDU14Vvf+hba29slw7SjowOmaUpR5VgsJunt6enp8Pl80mCnvLwcu3btEmDU5XLB5/PB4XCIZTI2NiY1RllwhzwUwzCEnq0ZnKm8Gx0O5QGhyVBUtHPmzBG8ii7VxMQEvF4vfvSjH1l6yOih96HGRqLRKL70pS8hMzMTR44cQVtbG8LhMAoLCy37lxybjxraGsnIyMAvfvELfPvb35a8EWIZVJSpVoy2PP/XWBaGYeDVV1/FZz/7WQBJZfGb3/xG4v3TVdLi5/RI5dtz8Pf09HSUlpYiHA5jZGQE5eXlmDdvnkWDs1dGWlqyRWB/fz9WrFiBt956C4lEAuvWrUMsFkNZWZlkjTLdm8h+ZmYmenp68N5770l5/ZqaGrz77rvweDwAkljKQw89hOeff96SEahDfgDwve99D/v27cM111yDtWvXwm634+WXXxYsQSPrqTiGFjQdXqP1odeFFHVtvlMAWUn9nXfewY033ihKav78+cjIyBDSFfMndJJYVlYWQqEQsrKy4PF4pFYHWZ02m02qqLMmZ+oGp1vCZwTA4lowfKibFMdiMWFr6tA6T2XWrKQgsvPZyMgInE4nfve73+Fzn/vcB57Ix44dw+nTp1FcXIyioiIUFBRg5syZOHXqFILBoCRwEYDnPjzfU15zJ/g7XQ+teACIpUUuDdeH783Ly/ufaQXwPzFsNhveeecd9PT0oL6+Hps2bYLL5ZK+l+Xl5QCmivEGAgHk5eVZfDqamqmWBQuoOJ1OGIYBt9st1Ge/329JhebDYXLQyMgI3G43ZsyYgUAggNLSUukbAQB+v19K6fPzvH5DQwMWL14sdTczMjIk5JiWluxYdebMGdx7772WDUCwFZiymFpaWjAxMYGFCxeiubkZbrcbmzdvxuuvv46RkRF4vV4BPik8POkYxtSUbgCWeD0tD4YkqQw0cEgFyu+Px+NoaWkRZUQikxZ0p9MpioHduHp7e89JKSfIyRCh7pyuhVz3Y9U0b51smGpx6Ptmp7qSkhIUFxcjGo3iyJEjaGhowNjYGPr6+jA6OioFhoqLi3HJJZeIpRONRuWzL730kmAxpNEHAgFpRESLzePxoKam5hwFwd+nUxx6X+v3LFmyxBIup+XDfBgeCHa7HU1NTfI5uk87duw451ofZ1wUygJIugrj4+OCNegalprcQvITHwCVBP+lossMX9LPHB4elkXUtRuBKfOSCT+jo6OoqqoSs1XHtrmRpwuPUekwAsDTjr73xMQETp48iYKCApSXl+P73/8+Kioq4PP5sHfvXkt4lYAtlSQtAwKGFGIKsD6JzhmBdAAAIABJREFUdIIXowM00/XcNfNV07B5H4lEQqpO0yznxozH41Jdiq8z2sSanHQnSNjSigKYAmd5Db2+vD9tSWglwzRx8j14n5pro/kM5Maw2hgPmpycHAHVuSa7du0SQhZD0dwDfr9fgGaSxvr7+6XSGA8nHRHR48OsC/03bY2wzQAp/rTidBSRrFwmwxUVFSESiaCrq+sDr3e+46JQFna7XUrkh0Ih/OlPf5IbZsgPmCqDx/ATgT32l2DKsQb7JiYmRNmYponm5mbZeDQ9gakck4mJCSm9Ho1GMXv2bIlY6I1qsyU7ihHkmu40aG1tlVJsgUAA4XAYhw4dwnXXXYf8/Hz8/Oc/x/3334/7778fP/jBD7B48WL4/X4AsCQyjY+PIxwOo7u7W5SGz+cTU5M+MdeFlgHzGKhIOT8KEOepw3o8qRj+1LkrGizT4W4NmsbjcamQxRg/LRhGMjj4fZp3oRPcKAjEH6jouMYOh0OsJ5LMdJ4HlQWL3dhsNtTX10thYJ32T7yHoCPJWY8++ii+8IUv4FOf+pRgJgDQ3d2NUCgk36EVHy0pAFIScTrilXYzUv+mFT/fZ5omFi1ahKysLBQVFYm1WlJSgp/+9Kdoa2vD0NAQIpEI7rrrLuTl5WHbtm3w+Xw4c+bM+QvkB4yLRlnk5ubCbrdjw4YNCIVC0qt07969lgVl53FdpJfuhAbXSHnVG2FwcBD9/f0WWqxpJnNF2GeBWARrSMyfPx8TExPw+XxwOp1IJBI4deoUli9fjnA4bHFjgKn4ODctqduTk5OYPXs2du/ejfT0dJSUlOCaa65BXl4enn76adx55514++23LfUXSH8me7Krqwu33norMjMzsXPnTjidTmRnZ+MPf/gDDMMQRaNdB51PoE1+KoHUCEpqjgd/6iIvxCT09wNTuAkzbDkX/ROAWELkpXDo61Oh8Ro6RZ7fzSplvD4JXFqR0ZpLT0/2s2V9DN1zhdYCrTZGGeg6vfjii9i9ezeuvPJKHDx4EMePH5c+towmafdIE/jYnDt1fBj9mu5zb28v2tvbxWVmh73e3l7ccsstEl4+ePAgvv71r8PtdsNms2HmzJmIx5Md9err69HW1nZOFOyTjPMp2JsF4C8AMs++/2XTNP9vwzDqALwAoBjAuwC+YJpmxDCMTCTbHV4CwA/gVtM0Oz/qOjk5OVi6dClKS0tRXFyMwcFB/OUvf5EICReXdQFYK4FdtXNzcyU1msJCX5Ilyvr6+jAwMCC+Kzc8WXJn71eiAi6XSyo+FRQUwOFwwGazoampSdD61IeuyUCDg4OWeDkwRY7yer1YsWIF4vE4brjhBng8HinIkpaW7NVZU1MjSsLj8eDgwYNSsJVl2Hw+H+bNm4f+/n4Jp6WyTolbUNB4EtLd4/t1LkWqtUDrSvci0Se3ZlGytwmBTSZyEdvgc6GrwaFdECoIbSVoHIXVp7RbROVAcJUVp+x2u5TR53VZbyQWi6GtrU2wJ16L4Xx2VRsYGMCLL76IFStWWLgNvLbOuOVzJq6iFRz3GBW3z+dDMBgUXESnMoTDYYyOjmJgYECacBOwvO222xAKhbBjxw6UlJQgIyMDlZWViMfjyMvLw6xZs5BIJFs2ZGdnn5PJ+knG+VgWkwA2mKY5YiRbAuw2DOO/Afwjku0LXzAM43EAdwH4+dmfQ6ZpNhiG8TkAWwHc+mEX4KIzfGmz2WTTzZ8/Xx4gABFsWg20EhgeIz8/tRdELBaTfJBQKITi4mLZXBQSwzAQDofl1BkeHkZpaanUX2S4Kjc3F4ZhTIswa8xg7dq10mOVp9XExATy8/Nx+vRpefjz58+H0+nEu+++i09/+tPo6emRDcoTnTUSyFPo6OiAx+NBWlqamKRkqBLc04g5MQiuLZOruD46TEdFozEOuiaaOkwrQNfksNlsUlyYBXBYH1RbDtNZC5w3yWR8fvw/74euB+dIS4Qu2Pj4uLhgppmsFM6uY3zetKTS09NRWVkpRZD1d7KgLwBJ1z98+DDWrVuH48ePo6enRywrFpzmnKmEe3p6LPtD8x8yMzNRUVEBl8uFV155BZOTk+js7ER/f7/sZ4fDIYxcrsuPf/xjTExMwOPxCPAbCARgGAY2b96MU6dO4be//S0+85nPYGJiQr7jQsf5FOw1AbBeWfrZfyaADQBuP/v6rwA8iqSyuOHs/wHgZQD/ZhiGYabGM1MGKyvzVM7NzZWF1AQV9o9kaIw9L4aGhqSZkEajGdOemJjAwMCAZOENDAxg4cKFos35/bRUCChFIhG8++67orGBKYFqamo65z40aNrW1iap701NTRgdHUVdXR3y8vKwfPly7N69G8eOHcPTTz8ttHIKBE9Zh8MBl8slQrlr1y6Ew2FZg0QiIZRjFp6lYqJprdmdPPEAiC+v4/ParD77/MW81q6IBg55SvKkJj+F3bW4ZnyfVgBcf84nNVuUg8+IFiMVHBWUtnC068HKV8y1IPOVZfQ1pqFrnhLApYVBC4HhySVLliAtLQ1dXV3Izc3Fd77zHUxMTOBf/uVf4HQ6sWzZMjidTixfvtwiqFwzDh5Yp0+fxokTJ1BZWSmuMzDFRKWSv+WWW2AYBs6cOYM5c+ZgYGAAXV1dsNvtWL9+vTQxamxsRCQSwdKlS9HX14djx459mPid1zjfJkN2JF2NBgD/L4A2AEHTNEkI0C0KZwDoAQDTNGOGYYSQdFUGP+waPK3PXg/p6emorq5GPB7Hrl27UF1djcrKSgmrmaYptRaIEpOefebMGTQ1NckpziYwJ0+eFDR+cnISVVVVskFpGpJtGI/HUVFRgXg8WfqdQKfGA3ia6KF1IufFTfmLX/wCzc3NOHPmDNLS0lBYWIienh4MDg4iGAyKq1BaWorVq1fD7/dL3YycnBwcPnzYAl7yWvTBGRnIzc1FZmamWFLckOQU6OiHLq6jsz31qa9BW12khyxRmu+macocGM3SLg2xEc6dCkNbKKlryc9oKrtuHsX7o7Ln9TIyMlBWViYgKN0hKrNgMCjfy0LKOuyurUtdc8I0kxmlR44cwcaNG3HFFVfAZrNJx68lS5bgueeew+TkJPr6+rBhw4ZzqqtPN7797W/jlVdewXPPPSeFnDWBzG5P9tm9/PLLJcLX1taGjo4OhMNhzJ07Fy+//LJEya699lr4/X50dXUhGAxi1qxZOHTo0IeJ4EeO81IWZrLvxxLDMJwAfgfg3CP1Yw5DtS90Op3nmPSGkSyAm5WVBZfLhZ6eHjgcDtG8xBZonpEUxRPH5XLB4XAIX76kpAT19fViYcydOxcrVqwAALFQAAiNPBqNSgEVYKqehFZo0yUBUZGQc8HalydPnkR7ezuAZNx7eHgY3d3d6Ovrw/DwsJxsc+bMwWWXXYa+vj60trYK6MpK1BRObnoyOClIZC1q35cnky5VyJNTNyNiqJVrS8GjtQFYq6vTSuF1ddYnTWeNKaSCnDTHqewovMAUIUunAaSlpSE/Px/BYNAidARttbXDVgDEtagYI5GIEO+ojDQnQ1u3Omypo0fxeBwjIyM4efIk7rjjDkuI2m634/e//z2ysrJQUlIibNUPC5Xy/kpKSsSSycjIkM84HA7E43EUFhZaLL5Dhw7B6/WirKwMp0+fFqttcnIS4+PjOHHiBDwej/BwLnR8rGiIaZpBwzDeBLAKgNMwjLSz1oVuUcj2hb2GYaQBKEAS6Ez9LmlfWFNTY15yySV8XQSexWxZp7C/vx+lpaUW/1qb/YxrU8uzShMAcT2Y6bdkyRKxFDTNnNGWsbExqXhFN4Ixd47e3l5UV1dbNi6/P5FIYN68eRgeHsazzz6LoaEhqbq9Y8cORKNROemi0SjKyspw7733or+/HwcPHpQeHjoHhC4VI0EcNNuZmMU1dDgcEuenRUU3i8Kts2TJUyGTkptW4x3AFAmKgs6qWlTcrLbNKApdBwKMfFZ8P59naiSGbgbxIs1S1KAiBZ3/dzgcYvXpPBnS/TUmk5+fb+naznuiG0PLk/eks4X7+/vx1FNP4aqrrkJ1dbUA55z/pk2bzovWzWc5Y8YMS9Eh7v+amhrccMMNwgzes2cPOjo6BPO4/PLLJduUofp4PI4NGzYgEAhgZGQE9fX12LZt20fO5cPG+URDSgFEzyoKB4CrkAQt3wTwN0hGRL4IgDN57ezv75z9+86Pwivob3NQo/t8PlRVVcHhcKCurs6i8TUop4G81FCm/ls8Hkd+fj56enqwZMkS8Z1HR0eFkON0OhEIBBCPx1FeXi4+LZPJNNhaW1t7zonBdPTdu3cjGAxiaGgIJ06cQCQSwZEjR6SRMQujOJ1O3HbbbWhqasLevXstRUt8Ph9mzZolpqXH4xGLggKrNzixCmIrOTk5iMViwing7zyFUxOQDMOQCI8Ok/LUpJDl5eWJ0FM5kJgVi8VQUFAgypYumBZGRk4ImFIhcJPrqAWtDSo+Yg167wBTWAAFVj8XKpW2tjYJN1L5MemNikCHhBlmpWXCtcnMzJR8o8OHD6OjowN33HEHFi9eDCDpfn71q1/FmjVrPpBLoYfGMBgmZVTwoYceEgwoJycHGRkZuPXWWwWfSf08BxVdbm4uvv71r/+P1bOoAPCrs7iFDcCLpmn+wTCMZgAvGIbx/wA4gmQ/VJz9+ZxhGK0AAgA+91EX4KmmlYBhGELz5nu0cpjuO6b7P383TVPazDHLlLyJgYEByRNobm4Wk3XmzJlIJBKorq6WxdbmqB6Tk5M4efIkXnvtNZSVlUnNiI6ODmRkZAjrjsSpaDSK22+/HZs2bQIAHDlyBB6PB6FQSKI5IyMjWLx4MTo7O+HxeODz+aRYCzAFPmoFqkvNMSpgs9mk9UBubq5gBRTczMxM6ePBEClNdg1iUuj5vcCUW8KT2DSTBWb4Pq6VxhuAqXAjAOE00PqhOc2apsRy2IWdbF9+LyMQLB9HBaaVJa0frlvqM6Si4BxJhiMWRuIfn18sFkNJSQnS0pLZqq+88gri8TjmzZsn2acfZ9B6iUQi4jL88Ic/lJYC0+3tD8I/9D0Rx/lrjPOJhrwPYOk0r7cDWDHN6xMAtnycSegsOvU9fxVtyDE6OoqSkhIBRcvKysSc9Xq9qK+vBwDh3NOfDgaDMp/plBRfZ6JVeXk5Jicn0dLSgmAwKKncNE8nJyexceNGbNiwQeoohEIhdHV1CYFrdHQUbrcbV155Jbq7u+H3+y2VwIiFANbq37TI2L2MioJrzFOYG16b8jxBeZLrojSpzFWNcVAQSSTTa6IjJ7weT3Gd10HXgd/DsCefD3MgRkZGRFA5PzJGdVsBWl26YtTBgwctGZpAsvYogU3tdhLgpaXGSA9BYDKD/X6/KN2hoSEhx919993nhVPoYbfbUVpaKtGP22+/Xap+p1rKqa+lDv0eHQ270HFRMDg12g1YrYiPGqmuyXQjHo/D5/NhaGhI/P7W1lYsXLgQ8Xhcms6yeU1mZqbwMFj784MGN+iLL74ov7vdbvT19UnFJJ5I6enpuPvuu1FRUYHx8XF4vV7k5OSgs7MTbrcbpmmKZZCVlQWn04nW1lZJoaZA6pOaIU+azkDSNA+FQigtLbWkbgNJok9eXp6l9R6FmZ3UCFhyQ+q8E57YOtSsO63r0CznokE5YKrQLudMpUbyGLkUvC8dyaBbo6MEfN/ExIQ8K+1OsNQf10LjGaSY22w2aY5EXEeDvPF4XEKrtHbIJCa2MzQ0hD179iA9PR3z588/r/0LTAm3y+VCZWWlNHKmxa2fsQZduabcE/yuRCKBL3/5yxgeHkZ6ejry8vIEzL+QcVEoC422f9LxYZ83zWS9BZr4enOTpPX9738fxcXFFjPcbk9Wo06tramHzWZDb2+v1KEMh8PweDzw+/0SEeAmr6mpQVFRkfyNFPNAICDVvSKRCEZGRlBWViZEGwoKN40uJZ+6BjQ7U1mGmoika0AQ3KWCYAUqHQ6l9cFNyc8zLZ2+PQU3EolIGToWraHwUnFQWdAC0daHJstlZmZK9rHD4RDhBqaYpQCkIxkVqVZ2tNh0tCUVqwEg7qcGcxmm1Z+hwGrsiID16OgoDhw4IBjX+Qwt/F/72tfwmc98Bi6Xy0Kl59oT26GS4B7k2uocF7peo6Oj+I//+I/zns8HjYtGWXCDJxIJPPvsszh8+DC+8pWvYNGiRRaf7cyZM5IQZBgGOjo6JLRYVVWFRCKB1tZWlJeXo7u7G3a7HXl5eXj77bclysETjDkbY2NjyMjIkGpNNptNTiifz/eh1ZF9Ph8OHTokaPnQ0BA6OzsRCARkUwHA8uXLsXz5chw8eBDFxcWysQOBAHp6egTpp2AR0CXPQucu8CTTpj+HjhT5fD5UVlYiKytLaiHocCiVIcvdMexKU14TtOiaaGq4YRiCC1CZcIOTEcmNy+sSjNV8CCpCKjMCkGlpaeeUD9QuEa/d3d0tTamYVEbWot/vt1yP7oW+PksIAJDICKMK2tqlJUIFztwduquRSARnzpxBJBLBM888g6amJixbtkwUK/eCdhkZwaMC3rx5s0TdhoeHpVIY11VHifiPCo6HRSKRLJREd5OZzhc6LgplYbfb0d7ejscffxx9fX3IysqS7tCpg0Lt8XikbPwbb7yBjRs3SqGZiooK9Pb2YmxsTGprMt+facYUDk2N5kk8NjaGiooKodFSSKdDnfft2wefz4eCggIMDw+jvb1dTlwCVmvWrMGiRYvgdrsxNjYm5evD4bCl4CvTjvnAe3p6pD6pNtv5kycsT00AllNxdHQU69evxxtvvCGAJU9CCi4jD9z0tF70emjcgv6vzsQlTTqVnaitBY2N8P+MXBE3IE5B5cK10MqKkTMKX39/PxobGy2nMxPKvF4vPB6PfF7TxpmrojvD6TlzXemC8Dloi5ShcCpsgs+8x1AohOPHj2P58uWYP38+BgcHJVOV5QnC4TDuvfde2duPPPLIOYLP6/J34id8HvypuSNsX8n98EGFgT/OuCiURWdnJ773ve8BmPKPGxoaUFlZeY6AkvpMzoTL5UJ9fb2AVH6/Hy6XSyIdXPjf/va3sNvtomD27dsHl8slFY1Yv5OnGPGLiooKafSjh2ma8Pv9CIfDIlixWAwzZ87Ejh07BMC75pprUF9fL0ppdHRUck4aGhowOJgktmruwMTEBILBoFgCbO4LTHEbuFb8qYE7CjTft3TpUhw9elS+X+fL6I0PTIWeMzIy5FTT1+Ym5UnLe9KgMDkatESYO6KFlZiJtnL0fKgouLZUZhqkHBoakmgBlalmeg4NDZ1D9KLg0EUkGU+TzfgseU8MSwOwpLUTS+F601IJh8OStMhD56233oLL5RI8ZMmSJXLq9/b2Wqju2uqgJcF6GjrvBJg6HJhl2t3djf7+fuTk5Mi6854udFwUyoJCocugrV+/ftpoCMvs6VJ7XFxWZeLgiUIKdXl5OVpbWzE5OYmenh709vYiFoshLy9PkPG0tDQMDw9LKTT2bgAg/TgopO+//z7y8vIEjOOmJ5fiuuuuE/dCa3i3242hoSGLuckTluY1B4E2vVbaJ+fP1A1BV4VlAY8cOSKvA1MJT0T2adIyWkHOgu4Yr/kN3MhUchoI5Pfrn5wna1fwu0giGxsbE5Oa6zQxMSHuFkO+FNbx8XEJXTKpkEokEolg1apVkujF58p9xn2lQ6U6BK3XiBgPXTJaOhqc5TU54vE4AoGAsE25Zzwej8UKaWtrw6WXXoqenh5RIiQdMopDYJWJg8ePH0dzczMGBgbEjSb9Wys4RvUoH9M1X/q446JQFoCVFchMufMZ2vx0uVznAJE2W7IU/fr160UwcnNzRUtPTEygsrIShw8flvJ7JOBQUNxuN3bv3o39+/dj69atErUYHh7Gn/70J2HI0W1auXKlxUfVPzMyMpCZmQm/3y+VsXmqAJD4PUul6bwVWgOpSpSvawCR19q/fz9qamrwxS9+Ec8884xsRGDqNNUuhb4G/Xie8vxdKylaEKQkcxAX0qQxXltjEKkbmQqIQjU6OiqnJBVSJBIR4hmFXf/92muvRTQaRWlpKbq6uuT6JFTpEC+jPzq8qCNItAj5HipJKhICw4wQEeBl0hkVOxmWDAMPDw9jcnISXq9XkiOzs7OxcuVKseqIX9EiJmhJLgoHLQ3tZnIuXMu/Bg3hwhsg/pUGTzaapQyRfdT4MDIWBzf1/PnzUV5eLi4GTwNWsaJPzA3NMOqpU6dw/PhxSTIzTRNDQ0M4fPgwent7UVFRIZuf4KgO6eoqW6lov2EYEi7kqcoThSc/lYBmU/J+U8PNOqRGa41rSrxDR590aT4KrmZvagxDm8Y8lSn4DCvSh9b+NoFYzVvgHJkXwnvg99Ba1GY4lVZqHhGvw3uaPXs2AIhvr3M+KFhce64phYyuFO9bK0Cun1aq+jloF4/fyQI9OpI0OjoqfJ+xsTHJQSLQSdJdbm6uFIGitUO50NgK9x3Bb86VmBzX+kLHRaEs+FC06dXZ2SluyYWMyclJDA4OoqSkBIlEAnV1dUL7Jgnp5MmT8qC42YkdGEayAlVRURGWLVsGn88Hv9+P3bt3S3tAFslpb29Hbm6umMcU5KKiIvFxc3JyUFxcLPTdUCgkAB/JSHQHDMMQoJSnr2Y+0sfVrkgqgYdrGQgEcMcdd6C0tFQ2Lglg/J2n6/DwsJSpo48MTLVa5HVpXvO18fFxEQIKE082/l1bP7qqOIfGOLQQsgIa15FCofNNAOC6665DPJ4sglRcXGzhyNBV1KQzbUFRiepwqMZeqEA0SMu1oyuX6n6x3aQu+8dQ88jIiHSfC4fDcDgcQtPW96/dTp1vo9eMI9W6A2BZnwsZF4Ubojc5b/D555/HCy+8gPvuuw8LFy4UhPuj+BT6IdpsNni9XgwPD6O+vl58yfT0dNTX1yMYDGLnzp2Ix+PSPYv+aSyW7Bn69ttvo6urC5deeimys7Px+9//Hi0tLQK+xmIxtLS0YPHixSgqKkIwGERZWZkATjxtCwsLLWBhVlaWtLvT1GnNJdCmO++bP3WMna+nmtEaW5k3bx6ysrLw2c9+Fj/96U/l/RrY0z+pEAhM6jYLBA11bkIqkMY0dVoCtJR0RIeKhGxQwNr3VLsnJGfxMKElSto3kMyzWbFiBZqbm+H3+4V7wTA214MYBpUUhVzzPIiFaMWqXZHUCBnvj1wHCngsliy6ROsrOzvbQkJjKjsVlsPhQHl5ORobGwUEZle6wcFBUXjAVPV3KmUqpFRinN1uP8ca+yTjolEW2scHkou2ZcsWHDhwAMXFxairq/tQRUFTVxd9zcrKQmlpqfRFNQxDql6dOHFCStnPmzcP0WgUp06dkma5drsdvb292LZtG8rLy+UhkWH38ssvY+XKlfD7/UhPT5eK4729vcKSJHDHOD7DgdpUzMjIQHZ2ttQBBZJ1RkdGRmTzUbAoKKncCk1A0rH4WCxZfi8cDqOtrQ1LlixBMBjE7bffjueee06EWzM0+Tw0vkAhor9PodFAHxUNv0NjD/wuXWSI1gj9+FgsJgQifjfvzWaziZABUyZ1aoPoBx98EP39/RgfH5doEoFRHXLksySGoRUJrQmuNwFfvoeHEd0Vuq68Zx3ypEIYGRmRMo50pThoUTidTtTU1KCxsREjIyPSPpLVvBsbG7F06VKMj49LucZEItkc+oYbbsDo6Ciqq6uxfft29PT04Pjx48jPz0ddXZ1YU0ePHv0k4injolAWgLUNH5BceJ/Ph3A4jN/97neora3FFVdcgcLCQhGY06dPY968eYKe6w3H5CjWBdAmYDweF35DTU0N+vv7cezYMdTW1iIeTyb0vP766zhw4ABisRiuv/565OXlobS0FAUFBbjzzjvxt3/7t2hpaUFpaSl6enpQUVGBoqIiFBUVwe12o76+XkAvbhoKp8PhEEIUAAG3QqEQIpHItIlazLbUgvRBQ1sBFOKOjg7U1tZKDsZVV12FN9980+LT65887Wl2E+MhfqBL/2s2JAddDyoPKhYOKintRmnQk+Czw+GQYs4UVIbJea+GYeAzn/kMAAhTl6Y/LR7TNCUETm6Fxio0b4G/s/ANqfqcJ+fKOdGa0FwYDYLSUsrIyBAiWTyerInB9hcbN26E3+/H0aNH4fP5UFZWBpfLJdZuT08PMjIykJ+fj/Xr12P16tXIz89HUVERsrKy0Nvbi4cffhgHDhyQerONjY3Izc3Fu+++O234/+OOi0JZaItBp1ofO3YMpaWliEQiOHr0KP785z+jqqoKPp8PK1aswE9+8hM88MADuPnmm2Vz2e12qSz1wx/+EAsXLkRdXZ0UtSkpKUFubi5ef/11VFdXo7m5WaIkPDEyMzPxxBNPoLq6Gj/+8Y+FasweGDk5Oejr60NPT4+Yx/v370dBQQGqqqpQWFgotScLCwulsTE3O7MsY7GYlPkPBoMikNrX5Fpo8xOw9grVYKIG7YApN8XtdqO/vx9OpxNlZWVoaGhAd3c3Tp06ZTGzefpTWRHRp1XDzU+B0M9PKwaezBQeDbJq010TiQj2kg1ZUlIiUTFN0ec98/ef/exn4mLSHGflMR15YSiYEQkN1HJNtculc5Z08WcCsnrN6TLqYkBU9HQtiQfRYguFQhJaPXr0KMbGxjBr1izMnz9f1oauGLvWFRQUoLe3F0ePHsX1118vz6u/vx9btmzB1VdfjX/9138FADQ2NuKyyy4TysCFjosC4ASmNDs1Nk32VG1+4sQJ9Pf348knn4TD4UBvb69EHBiD10VI3nrrLTz22GOS+qv9f77PZrNJdWyGpbKzs4XsRROaG6uoqAjvv/8+RkdHRWgY6oxEIigqKoLP5xMBYE8U7WuTGES3iQArYBV+jQcAVsyC66KxBu2i6JDt5OQkAoEARkdHRQFt3LjxHHIPAAuwyY3O9deuBr9b/+Pc9PX5TDUP44O+g9YVe8GQOtz4AAAgAElEQVRqhcgwKe83Ho9LJEFTm5lOTgWoI1AaZ9C8CR1NYNQidQ3pnvA1DWZyzTSYqPEbzYXgXhkdHcXg4CAmJyfR39+PzMxM4VnwXvTnaDkbRrI2x4svvih78uTJk3A4HLjtttuwbds2lJaWYsmSJXKYMdR8IcP+6KOPXvCXXOj4wQ9+8OjcuXMBwJIHEQgE4Ha74Xa74fV6EYlEpKlKZWUlGhsbEQwG8e///u946623sGvXLsRiMcyaNQvZ2dl45plnsGvXLgSDQTFnZ86cicnJSYTDYVRWVmJ0dBQHDx7E8PAwli5diqysLITDYQBJhiAbKNfV1SE3NxfhcBg33XQTbrjhBnR3d+PkyZOyocfGxpCZmSlFYr1eL7Kzs8XXJ4mHP8fGxhAMBi0AHJUDzU/AmrkJTJHYdHhPb3i+DkwpAVpP0WgUxcXFki26cuVK6cpOgdWZp0DyVOOJDUw1ZNJ8C+1C6DnQsuA8NKdEDwpoTk4OCgsLLRZEIpGwsCk1GPmTn/xEigWFw2E5dVlTQws3I025ubkyF23Z6PXTrFCChRqv0ZYT38PfaVFol0ZbQgSvu7u7MTg4CK/Xi8svvxyVlZWiTNgsnKFSgt+0jqiAduzYgb6+PuFkDA8PIy8vDxs3boTP50N5eblwgg4cOND/6KOPPvlJ5fSicENSUXhuvIKCAgkt8kT79Kc/jfnz50u/USCpYF588UW89NJL+NnPfoYf/ehHUoqNTMw33ngDzc3N0imLXbxIpmJlcD4Yxr9ZXby3txd79uwR5uCMGTOkhB5rXoRCIXR2diI9PR1VVVWYMWMG+vr64HK5xDyloBB/0GXtgSluANl4PCG5OXRYjZaLxgNSORHAVAHeUCiEWCyGmpoaIfjY7XZ86UtfwrZt2yQ8CUAS7UzTFFeEOS3kDWhuBk99rah4X1rZ6WdNLIbzYHFdvqZZnpoKDSQFcOvWrQJI0qwPhULCbqQlSTZrLBaTPBad4wFMUdmZ/KYJVZpdylOeFiiVP/NMNO5GxUDXVhcVCofDCAQCyMzMxM033yzudyKRQDgclmLLjADpGqJURuw10tbWhuzsbIyNjWHv3r2C082bNw+nTp2S0P2FjotCWXDQTNfmMJAE+ZxOJ5588km43W4cPnwYTz31lHxuxYoVuPnmm3HHHXfgwQcfxO7du2WBuVlp/vf392N0dBQrVqyA3Z5sILthwwYpp05uA9Hl2bNnC9g1d+5ceDweDA4OIhAIoLKyUjpGDQwMWExXmy1Z8dnlcqGzsxOzZs2SSAuFvbCwUBoL8f6BqZJowJS5XlhYKN2taJLrSEMqXqAFkmtIM7ajo0Na4NntduTn5+Mf/uEfsHXrVll3/XmepgAkOsDy+RQ4ckEIImscggolEomIe5iZmSl5Gcyv4XPSZCedL8MTHwDuu+8+Aavpuvj9frS3t1sUEaMgpmmKdaLrVHJoy0zXE9UszdT385mRK8L706ApnwsxtaysLIyPj6O9vR2JRALXX3+9vF+XHpjO+mJNVio4uoeTk5OiONhcqLCwEF6vF2lpaSguLhbM40LGRaEsaILqPAKdJZmRkYFf/epX2Lp1K3w+n2Qo2mzJvIt33nkHf/nLXzBz5kxs3boV9957r7QJ5OLn5+ejuLgY119/PYCkQIZCIeTm5qKpqQn79++XJDPDMFBRUYE1a9aguroawWBQ6Ld2ux1lZWU4fvw4Zs6cicLCQqnpQIKT3W7H0qVL0dvbi+LiYsycORM+n0+KzjgcDoyNjZ2Dqqe6G2lpacLmo/VC4CuVrKP5DICVsaeFLBaLwePxSFSEax0MBvHNb34TW7duPQdzICZEAI8cCCrXqqoqiRwQCASmMKGRkRFpL0mFxdOb90nTXrNGqSioDLk+t912GxYtWoTJyUn4/X6xPoeGhqQxk6Zv8/exsTHk5uZiZGRESHB66Otx0BrgoIUx3TqTZcpQq/7eRCIhFsXAwACGh4dxyy23SPiWrkk4HJZue9wvdH+YTs/InyaXEdtobm62lBD0eDzo7u4WC/tCxoW0L3wGwOUAQmff+remaR41kqr0JwA+DWDs7OuHP+IaFq47YNWs3//+9/H8888LlsBNM2vWLNx0003Yvn07bLZkjYtf/vKXuOuuu3Do0CExnS+77DJ8+tOfFqIOfe/CwkIcPXoUc+bMwT333CNugs2WLGhTU1Mjqb6aSwAA1dXV6O3tFZSe8yVtfN++fcjLy5NepZx7cXGxIPK8ls6wpPlMMhQ3N4Wd0ZJUDgMAC1VbD7opVBq0nPx+P8rLyy2h2vvuuw8/+clPpKCwDieShs/XuSbsH0shJ+7CkCEVmgYbp4uK2Gw2KR/A50SlkUgkc01qampw7bXXSp1SgoXM3mTkSVsivH92bCOfRSsCuhGMVKXOVzdY4ty1G6i/g5ERKhbNuGxvb0csFsPChQulVw6Zr9FoVOpvMGLDIsG02Oj66YOF6zwyMiK1UFlPtbS0FNFoVFIVLmScTzSE7QsXA1gCYJNhGJed/dsDpmkuOfuPjI9rAcw+++//INml7EMHT2MODRxFo1E0NDRgcnISf/d3f2fR7LfeeitycnJwxRVX4KabbsLixYsxa9Ys+Z54PI4vfOELuP766+H1ehEKhSSLU2MFPT09AizxJ8kxmnlIYhU3CJPRuBHoXoyPjwvgxhOhuLgYwWDQgpzzehwaVOR6aLKaJmlpbIKDKLrmOFDY9FrH43GhdDM1nXMaHh7G7bffbrEcNEdkuugMwTv+06AmP5sKhNK/p3uov4/AnmYomqaJuro63HPPPSJYmrXIMCStFwAWRaGFn8qF3895aPyC86FSTx16XXUESkexUg8YWsrxeBxVVVWyf3QIVmNXhmEIJ4dzoRVOd0qDx1x35qNEo8leqqFQ6H8mkcxMjunaF37QuAHAs2c/tw/J/iIVH3YNHecGpk7PiYkJ3HffffjlL3+J6667TrpDU7ns3bsXpmmioKAAfr8fp0+flraADQ0NeOqpp1BaWipFb1kpSz9ohhHdbjd8Pp+Yc+FwGENDQ5KbAVhZotyoiUQCubm5UuyVG//9999HJBLBqVOnpBZiTk6OlIijKc+6G9xYvHcdaSBGoE1xHWbWSiOVjamtCm3mDw0NoaenB319fZb7oln8ne98R1wszafgnHhyclDxaVeSrhE3MYVDKzw+A34HXRMtdLFYDNdccw2++93vSmSG689n19PTA4/HI9eicqDCpAsFQPAsve8MwxBrRVu5nI9WPDysqMT02hGo1FYT77Gjo0MsHFo5WpERxI7H44LncE3z8vKkQBIVN/eyJp3l5ORYXGJe+6+Ron5ePAvDMOyGYRwF4AWwwzTN/Wf/9D3DMN43DOPHRrJ7OqDaF54durXhBw7SiXV4LRaLYcOGDThw4ADKyspgt9tx9dVXSzXnSy+9VDZaZmYmXC4X3G43uru78Y1vfAMdHR0YGhqC3++3cAeYE0AgkZmZhmEId4KZqCR68WEypBmNRqUjeEVFBcrLyyU7kJq+o6MDY2NjaG5ulrBvT0+PKAx2n6JA8DRg6ExbHzrx6ewzsYQv6dcyLMswIf9Gf5f3EoslW/gxdDs8PCzXpEV311134ZFHHrFYVLQc1N6w5DroMCUVihYc4yy5TOeJ8P4AiMBpktbDDz+ML3zhC/KcotGopaYq655S0LS1w8EaIaR/k2AFTFlxjDRQwOmCUKnQatNKhmvLvctnr8H5WCyGwcFB2Uu1tbUyBzKGAcj6awIce3/olAEeaDr5saCgANnZ2SgpKUFZWZmlHqlWzBcyzktZmKYZN01zCZKdx1YYhrEAwENItjG8FEARgAc/zoUNw/g/hmEcMgzjELUxwUXeXF5eHoaHh3HHHXeIlrzqqqvw4IMPYtWqVbIJ//CHP0gW56OPPootW7bA7/fLyU9TnhwOXapOX5sPnKc+T1nWtojFYhK/T0tLQ3Z2NsrKysT3ZzMgCtbw8DBaWlrgdrvFF2YV6EgkApfLhRkzZlhOa+2aaCYgw2HcQLQwNOFIW0uMVHADaz8agABuoVAIXq9X7pEKi5WrI5EIvvKVr+Cmm26SE1CfhJwn3YnU+6AA8wTVIU0W8+W8tFVkGAbKysrw7LPPYuHChXJdRlWIVwwODqK7uxtdXV3yfHktDfzyWXIQB9GDbopex1Q+Cd+nXR0SqLRFyEE8qq+vD5mZmaiurhYeCQU9GAyiv79fuofpPrGpJC9aLdxPfB2AENlyc3NRWloqdVu4Vy90fNL2hZtM0/wR18MwjKcB3H/2d7Yv5NCtDfV3SfvCoqIiU4f5uNlKS0uFFAVMVXM2TRNXXnkl9uzZg+effx5paWnYtm0b/H4/vv3tb2N0dBSBQEAeiM1mE4SYSkDHv7kJ/X4/SkpKZPMToDRNUxoyZ2dnyyY3TROLFi3Czp07sWTJEgtPgfeQSCRw/PhxNDY2orKyEhUVFWhtbUVnZ6f4revWrcN7770n9SK5+TQGQEHkGqVudi2MqfgP71mf8GTIMtYfjUZRWVkJ0zTFBCbXAgBKS0tx7733orOzUxrqANY0aM3UpCLTz027W/ofMAWeOp1O3HnnnVi8eLG0FqSVQYGkogiFQnC73Whvb7cUqWEok+ugFQAwddpzTRgN4tprGjitGypnDRRrV4kWp85F4b2yyHRGRgby8vKQk5MjFhcBTOaJkFuhrWDuYwCyHlRsXDfDMKRCm7YiyVn5a2AWn7h9oWEYFaZp9p+NftwI4PjZj7wG4GuGYbwAYCWAkGma/R9xjXPMUMbxq6urpaagLtpimibWrFmD1atX4+mnn8bevXvx93//94jH44I1AFMAYarpyCgET20+sHA4LKc48QLdiDcWi4nSoM+8aNEieL1ewS4YSeDGicfj2LNnD9auXSsZtPX19di/f78kFrlcLoks6Ng8U725Thp952bkycmTivdJth/dEW2e8wSn0MXjcamnwM3PBC6udzweR0lJCb75zW/CMAy8/vrrOHjwoMW6oTDpNSfYp60GPcrLy7Fp0yZs2rQJhYWFwmhlJXZahYwoEczs6elBZ2en7B0qE4bWCUprMJXPUGeiUmHpiA4VHK07KmLeE4UvPz/fYgFqK9E0TXg8HhHY/Px85OTkSN6QVtgEdZ1OpxDUtFwwTMr5atcpJyfHAroDkM9pbOZCx4W0L9x5VpEYAI4C+MrZ97+OZNi0FcnQ6ZfOZyIUANZ9qK2tFVYah0a06es6HA586lOfEq1NLUwwjoAozVBuem5cTW7i6cWNpR88lYwmTvH/TqcT27dvx7p16zAwMHDOyWMYBkKhEDwej5xS2dnZyMvLkxAhyVETExPSR4QgmL5/rQy4IfUJrUNqGkzkptGCqkNvJBXRDNaFcalgyCqla3HdddfB6XTiyJEjgvVorEEDbHx2VELFxcVobGxEWVkZ1q1bh/nz51tS1LWbo6MIxItGRkYwMTEhPUF0uX+tkFKtLFpVfC5UyKlDMzz5vRqr4X3ReuR68T38yfopdLPIIuWpPzo6KgxYTdvnoBLgwaZzbLQFpDv66QhTKuHvQsaFtC/c8AHvNwHc/XEnQrM7FAohHA7D7XbD4XCguLgYY2NjWL16NQzDQFdXF/Lz8+XvDocDgUBA+myQ0swNypNCg4A605BmJ08h5o0AEGElU5CKgz42Nxo3IX3GgoIC4UpQwUxOTsLj8WB0dBSNjY0YHR1FYWEh3n33XfFhnU6nNEBmCFFvWp5mWgCIT2hWHzC1ybgGOpRJAaCLRnyFSXlpaWnIz8+X+WswVae/j4+PY9myZVi/fr2YwMQTeAqyIhnrdhQUFIhlRoCROAbBXV3Qhu7eyMiIRCvYza29vV0ITLw3WorRaFQKGulICAUJmGpVOTIycg73Q7s12j3WLgnnzXugJcm1GhwclDXUYWiSr/iTblUslqwOr0FSKgL9vBOJhKUWJ6NMVCD8vyZz/TUAzouGwal9qu985zvIycnBoUOHcPPNN8vDikajqKmpgWEYWLJkiQhUe3u7hJVoPuq6jlyorKws+Hw+OaH50IlAEzwkaUqbfhrg0vgAkNwoV1xxBfbt24cZM2aIBZHaj7Svrw8zZsxAb28vioqKBJfp7+9HXl6ebNZFixbh5MmTFhNUU4jp09L10BYG56cJQ9rC0KckhYpEnmg0iuHhYXkP3T5Wnk7tFaqrR+s1dDqdYrEVFhaKcmJSHQWWc6fvHolELCA3rUTWqqTf3t/fj76+PrjdbgDWVHfOkbkUWkj1IQFAaOR8XbtctES57vpzGi/S0RMeJuQ3cC3JuuRc4/G4KEe6srFYDBUVFeL6UpHrvafrpVKJaWXEZ0zwmhYir3mh46JQFsBUqbOamhocPnwYLpcLXV1dcLvdKCwstIA02iXo6uqSTcUYNE9Au90uACVgPS0oTDRftVIh685ut0uEhJuQ38lQLzV4Tk4OTp06hauuugo+n0/qU9BUTU9PlyzTtLQ0YdiZpomKigoJY9KdWrBgAU6dOiXNkSgMLJGvTxjeN+fJCIM2yak0gKmwJn1pWkixWLKUYE5OjpjI/C6uq96EOmyoiVUM5THcR8xAHwhULgAs0REKiRYq/p34yuDgIDwej5jvVFbafaQlEY/HZe+QGan3CDkwWuhpQejInMZkUl/j/dHKm5yclJ4lrKOirVEC2JFIBIFAQKygoqIiS+SKxXL4vbqlAZUPFRv3GOdot9uRk5MjFeK1a/NJx0WhLHh6aY4CbzI/P182tDbraYJqNh8AyQHQG47CxgXVgBUfHjAFSHITs5AuBVCj5ZqAxHHppZeis7NTTldudB3RIO2WVG5eh6SbYDAo15o1a5b0ONExeW5WmsI0tYEproDGbXh9/T6ewjRdU4WFOIF23VJDz1yb9PR0Swd2ZqfyROXJp0Os9NkBCJCpFSMVBU3xkZERceO6u7vh9XrlfoGpPqWRSES4FFSeFDauB8OJmriUah1oa477hvPivfO9tGS4lv39/aKAOLhO2urjfo1EIigrK5Pv5R5MPcCoCFIVGe9JKwUC9vwOrtOFjItCWZhmkkWZk5MjD5cmHDBFBz927Jhw/8nf1wh/KpMOgFQ2ojuhcxsAWLpV6w0eiUQsPrUWJP6klqe/OW/ePLz00ku48sor4ff7hQjExCkKZDAYFBOe82ACUmZmpjRE5qavrq5GPB4XYQFwDorPddTsTm5yHdLTSib1M8QMwuGwpVdHarhQry/XhlZEWlqahRNCxaf9dgKVVObxeFw4MVQOVCbMm/D7/RIB6e/vtxC8tALk7zoyoBMKCdISb9AWlxZ+4lDaVdWD+RdMeeffUyNhtHY0FkKlwlwO4jcMqfIA48GnyWG00FIPSGAqJM7XNOibCs5+knFRVMrSMeySkhIA1ti8aZpob29HIBCwJILxc2yCq9F7PRgF0IAP/UGmFLOCFB88zUZenxucr/MaRO05l6GhIRQUFFji/JooxDmwLD43hvYrdZSEloLdbkdJSYkoSua4UFFy8D51BIJrxbnwZKPgcFNTkHlC83Ma0NPhUTIJeb3Ue+Z89Fzo7ujcHK4BXQoqGf49EokgGAyis7NTunpRCPQprX13AHJIaOHnAaBBXz7L1AgD56/3KYFmHia8f75/cHDwnAgVlSjnxcOQn6X1TNyI98E11dEtbV1zTrpCnF4LrZini/h83HFRWBZA8mR1OBySJRePx8Xv3blzpwguYAVETdMUHgQ3BH3RVPOTioUNbfXpGIvF4PP5UFFRYanlCcASDeHpaxiGKC3OJx6PY/HixdL1jGYuOfxa+XDDZGdnSzVwVnSeOXOmnOxa4AGgoqICo6OjUgeDJw3NUCoXnrJamHivtHJ0qJGCQhpxYWGhnL4UCt0FjIJAN4s1JWw2G/Ly8mST0/3j//nM9HyAqaI/VIK02MbGxhAKheD3+yW3gspGCwYVH9dCCybdR9bSoLLm0PiJTjDjnuE6UdFod4JuFp8z15+fY+FowFozQ4f4y8vLLZXHU58VlVRq5zXu+VQrkc+X+Idpmn+VrNOLQllozV5cXCxsyfLycmzbtk2o3NoMplY2DEMQdAoJF1SfVNw8ZCtq0g0AqSRNJh8pt2lpaeISERCkcJGwpZXOsmXL8Nprr2HNmjXSMZsKgRYOBZRl+IDkKRgIBJCWloYzZ86gsLBQwC2+zpPD6XTC6XQKiMrTE7ASoLiJgSkEX/u52qXS5ncgEEBBQQHy8vIsQKEGdrkhGa6enJwUs54uX3Z2triVvDYVHAfN7fT0dHGxiM2QfNXZ2YnTp0/L9+hkLc6b1hEZj7xnYCoVnfNioZhUCzF1bbSC01EHulb8HPel2+0Wl4H/qAA1bqYVmdPptLgqGnynK8Nq5jwYdNRHu5S8V+4BgqjcJxc6LgplwYWx2ZLJVxUVFdKnksJFa4CbQ5vvWmPzdy44N4rGFzShiuXV7Xa7lDJLT0+XXBHN9qNloFF8CjD7g9AVqa6uRl9fn7g4qeaqdlt0E2CeNoz9c0MxzAdMuRJUosRBOPT9c84a/NLRER3F0N29/H4/cnNzRWEw+sHIi3Y36MqwbyvXT4dfgamQruY6EIjTa+L3+yXycebMGXR3d2NkZESUPO+B90UzPy0tDVVVVfj5z3+OlpYWPPvss2hpaZF1SU9Pt1Qm15iP3hPaBdYhV03qomLh3wYGBiwWLP/p++d+NU1TyIalpaWyFmSgkr1JC5QWpo768DpaMfI1AKLQ/H6/0AoudFwUyoJCZJqmNNs5duwYYrEYCgsLLRuUphUAacKi3QG+j4tIPIM8AZ05qs1MPkBuHJaG05YAMMUpCIfDcnrT8iB+sHr1ahw+fFhOYY1kA1YaeCKRrLlYUVFh4XiQsMPIEC0dhua06QxA3Ba6TprLwA2vN5lWFBq05BoODw9b0sVp8tIEj0aTzZB5ytlsNonu6A1LjIims6aacz15DcMwLH1nPR4PvF4vwuGwKFF+hoqH32232/Gzn/0Mc+fORWtrKxwOB55//nn85S9/wT/+4z9aXCLNn9BhYa6PJqMRwKS7we/hXMLhMMbHxwUop9LSVcg1AEkXiocYlYk+9BgapVvJPUlAl24y14Kv8RnTamJZBl297ELGRaEsOOrr61FXV4djx44BSJ50PNEo8BQo0nyHhoaEF8BwFYWWhVF08pgGQbnhMzMzpRYABZTMPpvNJpWVAIjZz4xYm82GoqIiDA0NCTA5e/ZsPPnkk1i0aJElzKhNXh3WTEtLQ0dHh4QgCXIxQsLfNfBKRUDlRWHWIU66Z5o3QnOXrormDXBwbqdPn0ZZWRnq6uokrV5bLCx+zLJ5umAO15uuHje1xka0cNBNYwWvyclJdHd3w+PxSKREp64DsEQ8FixYgJMnT+Jv/uZv4HQ6EYlEcPXVV2PLli1yT6FQyOJGELei4qGgUalp4p7GBWjdApDyB3SJdGSO60iLTa91WlqapdQdv5PXYmSM36H3n7Yq9PsTiYTQ5d1ut1hHmuF7IeOiiIZwrFq1Smo5Mm7OTU7GGxedgkIrgf4wCUbAVO1FgkwaYOOGo2mruQFpaWlCXdYl7oCp5roaJOTQobjplIOu46CBTs6HpdF40qSyDXXcX/u0+m881ciB0CcQNzPXRUcjOC99PzabTeqP6sgHMNWlm8Qj3g8H56fXXIcfuf4sNquL1UajUQmX/n/tnW2InNUVx/9ndusmm42zL1l2l0RwJSElLq1tpCrtB0mpqJV8KhgtfQFBhH6wWGiVQqGfSr/UthBoSy21UGqJrVSEEFJf0C/Vak1t0tUmomvcmIy77Lu7m52Z2w/P87tz5vEl092tM7s8B5adeeaZZ+6599xzz/mfc89lfHiOj/bg9lE+7rnnnosKd8uWLTp58mQMZfp8BdpDGJN2eh7oW6m+SrkHFMkF8oqG34LXQqEQLQGsK3i6/PLL6/qcPqJtPjeCscPKy4bBUYCEoQuFgubm5mKUbz2URUtYFtVqVXfeeWesVLWyshKL52INYJrhzyIEYAuSIlrf1tYWr9O5TDDwAe5j9eM+SdEMX15e1o4dOzQ7O6uurq44yXARmGhYPPzexYsXVSwW9dZbb6m/vz+GFOfn5+MqQ06/tzJYLWZmZuL5I1hFUiKc7AnwfCPsYDR+4mOZtLe3R5Ara03wu55/j9qPj4+rt7c38k976EtwE4SYsKIHrjGpUcQAebSnUChoYmJC09PTsWiQxyToB66xL4jfu+mmm3TPPfeoq6urjvfx8aQ6AmPuz5qFaAu84ZL5BYLXKIGVlZVYJpHx89EJgHDGhzagcHGFqPvJnhsWGhYK3BmOnfDZvLh4WDEAtyga+rBQKGhwcHBVc9NTSyiL/v7+qFU7OjpULBbjysGEomw+NSkmJiY0MTGhQiHZK1EsFqOQIkhMXIRcquEjHv1eXFyMqzFVqP0J6IBMDCJuCqZ0R0dHVF4ok/379+vo0aPq6emJURYffUAR8J4JgzBkU9d9FEiqn+A+7dxHXLypSp+Uy7VTrYgkYU351dNHG2ZnZ/XGG29o7969dXhHpVKJ9RWKxWJ0CTyij0DTZr+yYrmxGi4tLen8+fN69913IzZDf/IsJqLPKSiXyzpy5EiccPzW8PCwHnvsMRUKhRhh83iW9P4T5+EZF4Wxyk5M6n3S1/w2VigHIfscCR+holgvCwv3kVuTTSb0r+kDrjP+yHK1Wo1HQJpZPBdnrdQSygJwkZOhPSjnk1sAv2ZmZqJy4QBcJgoC4UNUfqckqLZUM+2ZKNSWAAfBDKesGQPtQ66sdFKtsrekaJqPjY3VHYiEsMKfj5kjiPAMTuBxBiY5bgqrLhPSRzRQBB61b29vj+AtZep4Nqsq5q4HZc+fP6+hoaGYP4ES8qFkJiRupN9PA88oae9aUG28VCppbGwsntvBfSh3Vm+vlFh5n3nmmTiuKPgTJ07U7YQmg3gAAAw1SURBVJ3JKoms6+CjRVgWKBG/IQt5Y3Hzyt6b/PSjl3OUPvkrbLfHTWaMfHaodzmwmrxrAz9ZfA5lStmHtVJLYBbkDoBRSPUH7RSLxWj2t7UlFay8Lzw/P6/JyUmdO3euLv7Ms725zXWQaHx7j4RT9IUaj0wGvzqgIPzhOT40Rhbn4uKiurq6oh/NxPUhS/77a/jPy8vLWlhY0OzsbJxEPmTM6stE9H4uNQ4Iu/JdhIwT2zwizz0+8oCgnjp1qs4iqVarMWkKwNknVWE5+exBng9ITdSF8y28OwThj2MdsWJjacGzT2/2eQ1MZH4/a4Wh/LEqPNaCIoCfxcXFmIDms0i9fHHNf5ctAdyLO8lr2goeRn4Em/l86B83BuvKY3aFQnIgFmBnb29vLCa9VmoJy0Kqoby+UlO1Wo2rIB2C3zY5Oanu7u54DNz09LS6u7ujheKRbEA9OhnwygszLgAKZGFhQZ2dnZqcnIyuBMQEJDTKHgYfelxeXtbAwIDm5ubiCk8iFzF2BIDVIouYe+wA5eGVqa/3yUrjBR1LhKri/rrHM7x14DeQZZXX0tKSjh07poMHD9Zto+aULdrGiutDs/QZk47Y/9TUlObm5nT27Nk6Vw2FQaZqdmerDwFjgdBfHmDMhpj5Lvf4HbFeSfn8COTTJ8Ch1OhTnlEoFOKeIA/4eqsATIQ2o8CwGOABl9pHxmgTeTjlcjlmJUuKhZfBt3B31sMNaQnLAvMMrevRZ8J0Ps5eqVTiOaSEmNhSTeEUzEGUDAPpkWfv4rBKswp5KwDtjnJBwLL+LoLAaiUleR5+u7Inb/rSBv57qwN+eI2Agcew2Qjl45PWpBoI7IWflcgLNCY+lseHma7ZU8q9tUD4k1PCcBOJeLz33nuan59XuVyreD09PR1XQyaQT79G0OkvlCKy4BPO6D8PVvqITzaywThmAUz6zocuASOzCivrIgDk8jzvfvkIlAeUeZ7fZu7nA/KEdQL2g4xLqsN2WCzJAiZnZi3UMpZFtVqN/jeCj+/FphsmDCYYO/Z27typc+fORcBMqpm+PokGgWKCYEZ6M5TBxsIgZZtaAtu2bYvhTcivbpTI27Ztm3bv3q0QkvMiRkZGogD5iYBC5Ldpk0e86Q8PWnoBaGtri7iKVC98PN+nKHuXyv+eN4u5L4ujVKtVHT9+XCMjI9qzZ0+0OJhkZG8yPt4CI0zKykdVtAsXLsRxo2/AMagSRdu8lQUPhKn9fhHak13d6S9+i/ocfMePERYA40QyFX2FokC5MY5ZS8aDs74t3uVifJEzFhfa7K04vocVicyWy+XYb8vLy9q3b1/kd1OFThkMH3f2WlmqJTZ5MJNkoL6+vriKMZC+ulO5nJQnw0Lxq5EPkwGa4ZMi4MViMQonbWbTFavx1q1btbi4GHeydnd3a3BwUKdPn46rP99l5fY7a33IkwmO1URUhPYjqD5KgkD5/AqP2UCEeOEdRYni9BMN8NcnV5mZRkdHNTY2ppGRkXimi88WJP8BQWYiAuhxBAHb98FVUIBkrFYqlRih8riDD+16i87jBt4Kgx8zq4ukoCiYeLg8yJ+31Eh4Ql58yBQL2C9yPvTq80x8lMhHt+hvLEQfloY/lJtfaHBrqUnKRkaqr3me1kINKwtLCva+KGk8hHCbmQ1LekRSn6SXJH0thHDRksOGfidpv6RJSbeHEN681PPpBL+KYfYvLCzUlbljUNgP0dnZqYGBgXg2g69FMTc3pxBCLP5bLpcjpoHwACoBznHeApgApqc3ERFc4vokjZFPQS1OlMfExIR27doVAVR/0pfr47qJCaaASYmQ+uQhBNPvm6HfSPpBkL2y4/d8dqGPRGHlZHMhpNrEWllJznQlvk/ZvJ07d6qvr69u5cTnL5VKMQeADFMP3BF2ZNL7U9d9AhSTF97MLEYUPCbho0c+lCnVtpzTt76fpPot7uQs+MiOX+k9vuRxI36HcURx+VCrB+O9RQmQn82JyfJF/lGpVIoWJC6TX6DWSv+LZXGvpFFJ5D7/WNKDIYRHzOwXku5Scq7pXZKmQgi7zexQet/tH/Vgv5piGmcLz3oz11sGrKI9PT2amppSqVTS0NBQHEwEiKgBmlpSnWYncuF3523fvl39/f169dVXdfXVV79vYmJ+ZtOrJUVAsbe3Vz09PXGStLW1xc8AQn1Og88mBOzN+udSzaSm73Df/DNwl4jj8xmTyRe3CSHEdHWpZu0xEbIWH+RT1DkdbGpqKv6WT4JisvhJiQXlQVewEywmxjgL9Hpsw7sQXl6ykQpkir7yWJB3V0mgqlQqdbuaAUVpO9YAVhkygltN23xIGnmEH7+Fn7bzXfoN/nnt3YqFhYVYFR6ry+e9ZMdstdTo8YW7JH1Z0q/T9ybpgKRH01seVnJ2iJScdfpw+vpRSV+0D0PKaEShttXY742QFKs5+81imIWsxEtLS9G6oKMxHxmgrq6uOBCsFjwTy4BkF6hSSbbMDw4Oanx8PFaYrlZr55zyDDADQEfvYw8PD6tQSDaEkdHJBPA1KhEkJqYHZguFQkxH9/4yfeKzOInq+BCcB+awkg4fPqzR0VE9++yzOnXqlA4dOhTbATF5EWqEzpu1nZ2d6unpidvamcxMMu8a0K9YeUQYUIq+7Z5n+pIVm+/AswerWQA8iJ1VJJjnyJGkOrcJCwC58JmrHvPiui8hSL/5MfURFNrBgsYzfE4NE53SjF4Zgc2Rbu4tQPigHgnP85bOaskaeYiZPSrpR5K2Kzl57JuS/hZC2J1+foWkoyGEETM7qeTEsrfTz16XdF0IYSLzzLuVnLIuSSOqHVK02WiHpIlL3rXxaLPyJW1e3vaGELav9suNnEh2m6RSCOElM7txtT+UpeCOLzSzF0MI167Xs1uJNitvm5UvafPyZmYvruX7jWAWn5d00MxulbRFCWbxM0ndZtYeQiir/jxTzjp928zaJRWVAJ055ZTTBqZLYhYhhAdCCLtCCFdKOiTpqRDCVyU9Lekr6W3fkPSX9PXj6Xulnz8V1sNhyimnnJpKa8ng/J6k+8zsjJLw6UPp9Yck9aXX75N0fwPP+tUa2tHqtFl526x8SZuXtzXx1RDAmVNOOeXUEntDcsopp9anpisLM7vZzF4zszNm1ojL0lJkZr8xs1IaMuZar5kdN7PT6f+e9LqZ2c9TXl8xs882r+UfTWZ2hZk9bWb/NrNTZnZven1D82ZmW8zsBTP7Z8rXD9Prw2b2fNr+P5rZZen1jvT9mfTzK5vZ/kuRmbWZ2ctm9kT6ft34aqqysCSF/LCkWyTtk3SHme1rZptWQb+VdHPm2v2Sngwh7JH0pGq4zS2S9qR/dyvJeG1VKkv6Tghhn6TrJX0rHZuNztuypAMhhE9LukbSzWZ2vWoZybslTSnJRJZcRrKkB9P7WpnItIbWjy+f5fZx/0m6QdIx9/4BSQ80s02r5ONKSSfd+9ckDaWvhyS9lr7+paQ7Pui+Vv9TEu360mbiTVKnpH9Iuk5JElZ7ej3KpaRjkm5IX7en91mz2/4h/OxSosAPSHpCkq0nX812Q3ZKOuvev51e2+g0EEJ4J319XtJA+npD8puaqJ+R9Lw2AW+pqX5CUknScUmvS5oOSc6QVN/2yFf6+YyS6F8r0k8lfVcSud99Wke+mq0sNj2FRHVv2JCTmXVJ+pOkb4cQZv1nG5W3EEIlhHCNkpX4c5I+2eQmrZl8pvX/6zearSzI9oR8JuhGpgtmNiRJ6f9Sen1D8Wtmn1CiKH4fQvhzenlT8CZJIYRpJcmFNyjNSE4/+qCMZLV4RjKZ1m8qKR1xQC7TOr1nTXw1W1n8XdKeFLG9TEmG6ONNbtN6kM9izWa3fj2NHFwvacaZ9C1F6U7hhySNhhB+4j7a0LyZWb+ZdaevtyrBYUa1wTOSw8eRad0CoMytkv6jxG/8frPbs4r2/0HSO5JWlPiEdynx/Z6UdFrSXyX1pveakujP65L+JenaZrf/I/j6ghIX4xVJJ9K/Wzc6b5I+JenllK+Tkn6QXr9K0guSzkg6Iqkjvb4lfX8m/fyqZvPQAI83SnpivfnKMzhzyimnhqjZbkhOOeW0QShXFjnllFNDlCuLnHLKqSHKlUVOOeXUEOXKIqeccmqIcmWRU045NUS5ssgpp5waolxZ5JRTTg3RfwGt+gwMVTcQuAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt # plt 用于显示图片\r\n",
    "\r\n",
    "path='dataset/MaskCOCOData/JPEGImages/maksssksksss195.png'\r\n",
    "img = Image.open(path)\r\n",
    "plt.imshow(img)          #根据数组绘制图像\r\n",
    "plt.show()               #显示图像\r\n",
    "\r\n",
    "\r\n",
    "# 灰度图\r\n",
    "img = np.array(Image.open(path).convert('L'), 'f')\r\n",
    "plt.imshow(img,cmap=\"gray\")          #根据数组绘制图像\r\n",
    "plt.show()               #显示图像\r\n",
    "\r\n",
    "#小Tips:jupyter notebook中plt显示灰度图异常，需要使用plt.imshow(gray,cmap=\"gray\")方法正常显示灰度图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f6c22733890>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#原图\r\n",
    "img = cv2.imread(path)\r\n",
    "plt.subplot(221)\r\n",
    "plt.imshow(img,cmap=\"gray\")\r\n",
    "# matplotlib 按照RGB顺序展示原图\r\n",
    "plt.imshow(cv2.cvtColor(img,cv2.COLOR_BGR2RGB)) \r\n",
    "plt.subplot(222)\r\n",
    "# cv2默认的GBR显示图\r\n",
    "plt.imshow(img)\r\n",
    "plt.subplot(223)\r\n",
    "# 32*32的缩略图\r\n",
    "plt.imshow(cv2.resize(img, (32, 32)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#图像处理示例  目标视野里比较多重叠，或者有点模糊的适用 \r\n",
    "path='dataset/MaskCOCOData/JPEGImages/maksssksksss443.png'\r\n",
    "img = Image.open(path)\r\n",
    "plt.imshow(img)        \r\n",
    "plt.show()  \r\n",
    "\r\n",
    "\r\n",
    "#锐化\r\n",
    "img = img.filter(ImageFilter.SHARPEN)\r\n",
    "img = img.filter(ImageFilter.SHARPEN)\r\n",
    "plt.imshow(img)        \r\n",
    "plt.show()          \r\n",
    "\r\n",
    "#亮度变换\r\n",
    "bright_enhancer = ImageEnhance.Brightness(img)    # 传入调整系数亮度\r\n",
    "img = bright_enhancer.enhance(1.6)\r\n",
    "plt.imshow(img)        \r\n",
    "plt.show() \r\n",
    "\r\n",
    "#提高对比度\r\n",
    "contrast_enhancer = ImageEnhance.Contrast(img)    # 传入调整系数对比度\r\n",
    "img = contrast_enhancer.enhance(1.9)\r\n",
    "plt.imshow(img)        \r\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 3.2 为什么要做这些数据增强\n",
    " &emsp;&emsp; 是因为很多深度学习的模型复杂度太高了，且在数据量少的情况下，比较容易造成过拟合(通俗来说就是训练的这个模型它太沉浸在这个训练样本当中的一些特质上面了)，表现为的这个模型呢受到了很多无关因素的影响。\n",
    "所得出的结果就是在没有看到过的样本上对它做出预测呢就表现的不太好。\n",
    "\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/bf6b5ab819e74ec79da76718948994f27a40b7a6cef04d8fb72201e0d9be4c21)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/voc.py:61: UserWarning: \n",
      "This call to matplotlib.use() has no effect because the backend has already\n",
      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
      "or matplotlib.backends is imported for the first time.\n",
      "\n",
      "The backend was *originally* set to 'module://ipykernel.pylab.backend_inline' by the following code:\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/runpy.py\", line 193, in _run_module_as_main\n",
      "    \"__main__\", mod_spec)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/runpy.py\", line 85, in _run_code\n",
      "    exec(code, run_globals)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel_launcher.py\", line 16, in <module>\n",
      "    app.launch_new_instance()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/traitlets/config/application.py\", line 664, in launch_instance\n",
      "    app.start()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelapp.py\", line 505, in start\n",
      "    self.io_loop.start()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/platform/asyncio.py\", line 132, in start\n",
      "    self.asyncio_loop.run_forever()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/base_events.py\", line 534, in run_forever\n",
      "    self._run_once()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/base_events.py\", line 1771, in _run_once\n",
      "    handle._run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/events.py\", line 88, in _run\n",
      "    self._context.run(self._callback, *self._args)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/ioloop.py\", line 758, in _run_callback\n",
      "    ret = callback()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/stack_context.py\", line 300, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1233, in inner\n",
      "    self.run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1147, in run\n",
      "    yielded = self.gen.send(value)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 370, in dispatch_queue\n",
      "    yield self.process_one()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 346, in wrapper\n",
      "    runner = Runner(result, future, yielded)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1080, in __init__\n",
      "    self.run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1147, in run\n",
      "    yielded = self.gen.send(value)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 357, in process_one\n",
      "    yield gen.maybe_future(dispatch(*args))\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 326, in wrapper\n",
      "    yielded = next(result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 267, in dispatch_shell\n",
      "    yield gen.maybe_future(handler(stream, idents, msg))\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 326, in wrapper\n",
      "    yielded = next(result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 534, in execute_request\n",
      "    user_expressions, allow_stdin,\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 326, in wrapper\n",
      "    yielded = next(result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/ipkernel.py\", line 294, in do_execute\n",
      "    res = shell.run_cell(code, store_history=store_history, silent=silent)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/zmqshell.py\", line 536, in run_cell\n",
      "    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py\", line 2821, in run_cell\n",
      "    self.events.trigger('post_run_cell', result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/events.py\", line 88, in trigger\n",
      "    func(*args, **kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/pylab/backend_inline.py\", line 164, in configure_once\n",
      "    activate_matplotlib(backend)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/pylabtools.py\", line 314, in activate_matplotlib\n",
      "    matplotlib.pyplot.switch_backend(backend)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/pyplot.py\", line 231, in switch_backend\n",
      "    matplotlib.use(newbackend, warn=False, force=True)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/__init__.py\", line 1422, in use\n",
      "    reload(sys.modules['matplotlib.backends'])\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/importlib/__init__.py\", line 169, in reload\n",
      "    _bootstrap._exec(spec, module)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/backends/__init__.py\", line 16, in <module>\n",
      "    line for line in traceback.format_stack()\n",
      "\n",
      "\n",
      "  matplotlib.use('Agg')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-07-28 21:49:50 [INFO]\tStarting to read file list from dataset...\n",
      "2021-07-28 21:49:51 [INFO]\t684 samples in file ./dataset/MaskVOCData/train_list.txt\n",
      "creating index...\n",
      "index created!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/paddlex/cv/datasets/voc.py:61: UserWarning: \n",
      "This call to matplotlib.use() has no effect because the backend has already\n",
      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
      "or matplotlib.backends is imported for the first time.\n",
      "\n",
      "The backend was *originally* set to 'module://ipykernel.pylab.backend_inline' by the following code:\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/runpy.py\", line 193, in _run_module_as_main\n",
      "    \"__main__\", mod_spec)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/runpy.py\", line 85, in _run_code\n",
      "    exec(code, run_globals)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel_launcher.py\", line 16, in <module>\n",
      "    app.launch_new_instance()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/traitlets/config/application.py\", line 664, in launch_instance\n",
      "    app.start()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelapp.py\", line 505, in start\n",
      "    self.io_loop.start()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/platform/asyncio.py\", line 132, in start\n",
      "    self.asyncio_loop.run_forever()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/base_events.py\", line 534, in run_forever\n",
      "    self._run_once()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/base_events.py\", line 1771, in _run_once\n",
      "    handle._run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/asyncio/events.py\", line 88, in _run\n",
      "    self._context.run(self._callback, *self._args)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/ioloop.py\", line 758, in _run_callback\n",
      "    ret = callback()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/stack_context.py\", line 300, in null_wrapper\n",
      "    return fn(*args, **kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1233, in inner\n",
      "    self.run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1147, in run\n",
      "    yielded = self.gen.send(value)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 370, in dispatch_queue\n",
      "    yield self.process_one()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 346, in wrapper\n",
      "    runner = Runner(result, future, yielded)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1080, in __init__\n",
      "    self.run()\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 1147, in run\n",
      "    yielded = self.gen.send(value)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 357, in process_one\n",
      "    yield gen.maybe_future(dispatch(*args))\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 326, in wrapper\n",
      "    yielded = next(result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 267, in dispatch_shell\n",
      "    yield gen.maybe_future(handler(stream, idents, msg))\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 326, in wrapper\n",
      "    yielded = next(result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/kernelbase.py\", line 534, in execute_request\n",
      "    user_expressions, allow_stdin,\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/tornado/gen.py\", line 326, in wrapper\n",
      "    yielded = next(result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/ipkernel.py\", line 294, in do_execute\n",
      "    res = shell.run_cell(code, store_history=store_history, silent=silent)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/zmqshell.py\", line 536, in run_cell\n",
      "    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/interactiveshell.py\", line 2821, in run_cell\n",
      "    self.events.trigger('post_run_cell', result)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/events.py\", line 88, in trigger\n",
      "    func(*args, **kwargs)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/ipykernel/pylab/backend_inline.py\", line 164, in configure_once\n",
      "    activate_matplotlib(backend)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/IPython/core/pylabtools.py\", line 314, in activate_matplotlib\n",
      "    matplotlib.pyplot.switch_backend(backend)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/pyplot.py\", line 231, in switch_backend\n",
      "    matplotlib.use(newbackend, warn=False, force=True)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/__init__.py\", line 1422, in use\n",
      "    reload(sys.modules['matplotlib.backends'])\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/importlib/__init__.py\", line 169, in reload\n",
      "    _bootstrap._exec(spec, module)\n",
      "  File \"/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/backends/__init__.py\", line 16, in <module>\n",
      "    line for line in traceback.format_stack()\n",
      "\n",
      "\n",
      "  matplotlib.use('Agg')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-07-28 21:49:51 [INFO]\tStarting to read file list from dataset...\n",
      "2021-07-28 21:49:52 [INFO]\t127 samples in file ./dataset/MaskVOCData/val_list.txt\n",
      "creating index...\n",
      "index created!\n"
     ]
    }
   ],
   "source": [
    "\r\n",
    "def preprocess(dataType=\"train\"):\r\n",
    "    if dataType == \"train\":\r\n",
    "        transform = T.Compose([\r\n",
    "            T.MixupImage(mixup_epoch=10),   #对图像进行mixup操作，模型训练时的数据增强操作，目前仅YOLOv3模型支持该transform\r\n",
    "            # T.RandomExpand(),        #随机扩张图像\r\n",
    "            # T.RandomDistort(brightness_range=1.2, brightness_prob=0.3),       #以一定的概率对图像进行随机像素内容变换\r\n",
    "            # T.RandomCrop(),          #随机裁剪图像\r\n",
    "            # T.ResizeByShort(),  #根据图像的短边调整图像大小\r\n",
    "            T.Resize(target_size=608, interp='RANDOM'),   #调整图像大小,[’NEAREST’, ‘LINEAR’, ‘CUBIC’, ‘AREA’, ‘LANCZOS4’, ‘RANDOM’]\r\n",
    "            # T.RandomHorizontalFlip(),  #以一定的概率对图像进行随机水平翻转\r\n",
    "            T.Normalize()  #对图像进行标准化\r\n",
    "            ])\r\n",
    "        return transform\r\n",
    "    else:\r\n",
    "        transform = T.Compose([\r\n",
    "            T.Resize(target_size=608, interp='CUBIC'), \r\n",
    "            T.Normalize()\r\n",
    "            ])\r\n",
    "        return transform\r\n",
    "\r\n",
    "\r\n",
    "train_transforms = preprocess(dataType=\"train\")\r\n",
    "eval_transforms  = preprocess(dataType=\"eval\")\r\n",
    "\r\n",
    "\r\n",
    "\r\n",
    "# 定义训练和验证所用的数据集\r\n",
    "# API地址：https://paddlex.readthedocs.io/zh_CN/develop/data/format/detection.html?highlight=paddlex.det\r\n",
    "train_dataset = pdx.datasets.VOCDetection(\r\n",
    "    data_dir='./dataset/MaskVOCData',\r\n",
    "    file_list='./dataset/MaskVOCData/train_list.txt',\r\n",
    "    label_list='./dataset/MaskVOCData/label_list.txt',\r\n",
    "    transforms=train_transforms,\r\n",
    "    shuffle=True)\r\n",
    "eval_dataset = pdx.datasets.VOCDetection(\r\n",
    "    data_dir='./dataset/MaskVOCData',\r\n",
    "    file_list='./dataset/MaskVOCData/val_list.txt',\r\n",
    "    label_list='./dataset/MaskVOCData/label_list.txt',\r\n",
    "    transforms=eval_transforms)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 四、模型训练与评估\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/__init__.py:107: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
      "  from collections import MutableMapping\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/rcsetup.py:20: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
      "  from collections import Iterable, Mapping\n",
      "/opt/conda/envs/python35-paddle120-env/lib/python3.7/site-packages/matplotlib/colors.py:53: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
      "  from collections import Sized\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'train_dataset' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-4-5bb22e80a4c6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m#num_classes有些模型需要加1 比如faster_rcnn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mnum_classes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_dataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpdx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPPYOLO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnum_classes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnum_classes\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'train_dataset' is not defined"
     ]
    }
   ],
   "source": [
    "import matplotlib\r\n",
    "matplotlib.use('Agg') \r\n",
    "os.environ['CUDA_VISIBLE_DEVICES'] = '0'\r\n",
    "%matplotlib inline\r\n",
    "import warnings\r\n",
    "warnings.filterwarnings(\"ignore\")\r\n",
    "\r\n",
    "#num_classes有些模型需要加1 比如faster_rcnn\r\n",
    "num_classes = len(train_dataset.labels)\r\n",
    "\r\n",
    "model = pdx.det.PPYOLO(num_classes=num_classes, )\r\n",
    "\r\n",
    "model.train(\r\n",
    "    num_epochs=70,\r\n",
    "    train_dataset=train_dataset,\r\n",
    "    train_batch_size=16,\r\n",
    "    eval_dataset=eval_dataset,\r\n",
    "    learning_rate=3e-5,\r\n",
    "    warmup_steps=90,\r\n",
    "    warmup_start_lr=0.0,\r\n",
    "    save_interval_epochs=7,\r\n",
    "    lr_decay_epochs=[42, 70],\r\n",
    "    save_dir='output/PPYOLO',\r\n",
    "    use_vdl=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "!mkdir ./output\r\n",
    "\r\n",
    "!unzip -oq /home/aistudio/data/data101583/PPYOLO_YES.zip  -d ./output\r\n",
    "!unzip -oq /home/aistudio/data/data101583/PPYOLO_ALL.zip  -d ./output\r\n",
    "!unzip -oq /home/aistudio/data/data101583/PPYOLO_NO.zip   -d ./output\r\n",
    "\r\n",
    "\r\n",
    "!mv -f output/home/aistudio/PPYOLO_ALL  output\r\n",
    "!mv -f output/home/aistudio/PPYOLO_YES  output\r\n",
    "!rm -r output/home/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "注意：训练点中断后的必须重启环境，清除中断之前缓存的环境，点重启。重新运行代码块 **7、20、31、32、37** 即可继续往后执行   前面的加(39) 即可重新训练。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "###   4.1 比对实验 \n",
    "\n",
    "在其他参数都相同的情况下，在没有加任何的数据增强时，**mAP为38.06**：\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/092c3fbc047e4e5396476df760dfa9d9da6f127d43e540cc9f81609d102c5aa4)\n",
    "\n",
    "\n",
    "\n",
    "在其他参数都相同的情况下，在随机扩张，随机像素变换数据增强时，**mAP为41.9**：\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/b8d017abd7414da1abc82b7da5b35ddf71a3563ef90d4f5b9e468b175638380f)\n",
    "\n",
    "\n",
    "在其他参数都相同的情况下，在加随机裁剪，随机水平翻转，短边调整，与Mixup的数据增强时，**mAP为35.4**：\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/bec1270274c6402ca56eb393560ca98649509bab3bcd4ffbaffcb81eac0d10d0)\n",
    "\n",
    "\n",
    "以上对比实验说明，正确的增加数据增强时，可以小幅度提升mAP值。\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/72df0cd282664057a22a523526c46770370aeae779544564a352c631ee435632)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "###   4.2 拓展介绍mAP：\n",
    "\n",
    "在机器学习领域中，用于评价一个模型的性能有多种指标，其中几项就是FP、FN、TP、TN、精确率(Precision)、召回率(Recall)、准确率(Accuracy)。\n",
    "\n",
    "mean Average Precision, 即各类别AP的平均值，是AP：PR 曲线下面积。\n",
    "\n",
    "\n",
    "此前先了解一下IOU评判标准：\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/156a2736163b482d9405bbf1a7fc76c8d818d372669642c88f26d7f8f9ad6a1f)\n",
    "\n",
    "\n",
    "\n",
    "TP、FP、FN、TN\n",
    "\n",
    "常见的评判方式，第一位的T,F代表正确或者错误。第二位的P和N代表判断的正确或者错误\n",
    "\n",
    "* True Positive (TP): $\\mathrm{IoU}>I O U_{\\text {threshold }}$ (IOU的阈值一般取0.5)的所有检测框数量（同一Ground Truth只计算一次），可以理解为真实框，或者标准答案\n",
    "\n",
    "* False Positive (FP): $\\mathrm{IoU}<I O U_{\\text {threshold }}$ 的所有检测框数量\n",
    "\n",
    "* False Negative (FN): 没有检测到的 GT 的数量\n",
    "\n",
    "* True Negative (TN): mAP中无用到\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/c9ddb96d1bc94786903d6e3186a951fe7042c831c2ad4d329aaf95298c2eda79)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "查准率（Precision）:  Precision $=\\frac{T P}{T P+F P}=\\frac{T P}{\\text { all detections }}$\n",
    "\n",
    "查全率（Recall）: Recall $=\\frac{T P}{T P+F N}=\\frac{T P}{\\text { all ground truths }}$\n",
    "\n",
    "\n",
    "二者绘制的曲线称为 P-R 曲线：\n",
    "查准率：P 为纵轴y  查全率：R 为横轴x轴，如下图\n",
    "\n",
    "![](https://ai-studio-static-online.cdn.bcebos.com/2505d5e4ce9040879553d2a3252785e9d5cf697d278543999e77ef0b51d2847a)\n",
    "\n",
    "mAP值即为，PR曲线下的面积。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## 五、模型推理预测\n",
    "\n",
    "使用模型进行预测，同时使用pdx.det.visualize将结果可视化，可视化结果将保存到work/PaddleDetection/output/PPYOLO/vdl_log下,载入模型推理保存图片至work/PaddleDetection/output/PPYOLO/img下。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 844\n",
      "-rw-r--r-- 1 aistudio 838175 Jul 28 21:58 2233323.ipynb\n",
      "drwxrwxrwx 6 aistudio   4096 Jul 28 21:49 data/\n",
      "drwxr-xr-x 5 aistudio   4096 Jul 28 21:55 output/\n",
      "-rw-r--r-- 1 aistudio   6940 Jul 28 21:05 ProcessData.py\n",
      "drwxr-xr-x 2 aistudio   4096 Jul 28 21:05 Test/\n",
      "drwxr-xr-x 3 aistudio   4096 Jul 28 21:39 work/\n"
     ]
    }
   ],
   "source": [
    "%ll"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-07-28 21:59:07 [INFO]\tModel[PPYOLO] loaded.\n",
      "2021-07-28 21:59:07 [INFO]\tThe visualized result is saved as ./output/PPYOLO_YES/img/visualize_maksssksksss151.png\n",
      "2021-07-28 21:59:08 [INFO]\tThe visualized result is saved as ./output/PPYOLO_YES/img/visualize_maksssksksss152.png\n",
      "2021-07-28 21:59:08 [INFO]\tThe visualized result is saved as ./output/PPYOLO_YES/img/visualize_maksssksksss105.png\n"
     ]
    }
   ],
   "source": [
    "#maksssksksss152.png maksssksksss105.png\r\n",
    "model = pdx.load_model('output/PPYOLO_YES/best_model')\r\n",
    "\r\n",
    "image_dir = 'Test/'\r\n",
    "images = os.listdir(image_dir)\r\n",
    "\r\n",
    "for img in images:\r\n",
    "    image_name = image_dir + img\r\n",
    "    result = model.predict(image_name)\r\n",
    "    pdx.det.visualize(image_name, result, threshold=0.3, save_dir='./output/PPYOLO_YES/img')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#展示模型推理结果\r\n",
    "path = \"Test/maksssksksss152.png\"\r\n",
    "img = Image.open(path)\r\n",
    "plt.imshow(img)          #根据数组绘制图像\r\n",
    "plt.show()               #显示图像\r\n",
    "\r\n",
    "path = 'output/PPYOLO_YES/img/visualize_maksssksksss152.png'\r\n",
    "img = Image.open(path)\r\n",
    "plt.imshow(img)          #根据数组绘制图像\r\n",
    "plt.show()               #显示图像"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# 六、总结\n",
    "\n",
    "\n",
    "&emsp;&emsp;本次课程主要为大家介绍了数据集获取，以及数据标注、数据划分、数据增强处理方法和简单的口罩检测实现，及其用数据增强和不用数据增强的对比实验，体现了数据增强在AI学习中的重要性，接下来有其他大佬的讲的更多更多干货的课程，也会更加深入，难度也会有所提升，想部署自己训练的模型吗，敬请关注后续更有意思的落地部署，大家加油！"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PaddlePaddle 2.1.0 (Python 3.5)",
   "language": "python",
   "name": "py35-paddle1.2.0"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
